Triple
T9461110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karakum Canal |
E228145
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Türkmenabat
Türkmenabat is a major city in eastern Turkmenistan, serving as an important industrial, transport, and agricultural center near the border with Uzbekistan.
|
E800933
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Türkmenabat | Statement: [Karakum Canal, passesNear, Türkmenabat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Türkmenabat Context triple: [Karakum Canal, passesNear, Türkmenabat]
-
A.
Türkmenbaşy
Türkmenbaşy is a port city in western Turkmenistan on the Caspian Sea, serving as a key hub for maritime trade and regional transport.
-
B.
Bazar-Korgon
Bazar-Korgon is a town in southwestern Kyrgyzstan, known as a local administrative and market center in the Jalal-Abad Region.
-
C.
Termez
Termez is a historic city in southern Uzbekistan near the Afghan border, known as an important cultural and trade center along the ancient Silk Road.
-
D.
Dashoguz
Dashoguz is a prominent city in northern Turkmenistan, serving as a regional administrative and economic center near the border with Uzbekistan.
-
E.
Cholpon-Ata
Cholpon-Ata is a popular resort town on the northern shore of Lake Issyk-Kul in Kyrgyzstan, known for its beaches, mountain scenery, and archaeological sites.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Türkmenabat Triple: [Karakum Canal, passesNear, Türkmenabat]
Generated description
Türkmenabat is a major city in eastern Turkmenistan, serving as an important industrial, transport, and agricultural center near the border with Uzbekistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Türkmenabat Target entity description: Türkmenabat is a major city in eastern Turkmenistan, serving as an important industrial, transport, and agricultural center near the border with Uzbekistan.
-
A.
Türkmenbaşy
Türkmenbaşy is a port city in western Turkmenistan on the Caspian Sea, serving as a key hub for maritime trade and regional transport.
-
B.
Bazar-Korgon
Bazar-Korgon is a town in southwestern Kyrgyzstan, known as a local administrative and market center in the Jalal-Abad Region.
-
C.
Termez
Termez is a historic city in southern Uzbekistan near the Afghan border, known as an important cultural and trade center along the ancient Silk Road.
-
D.
Dashoguz
Dashoguz is a prominent city in northern Turkmenistan, serving as a regional administrative and economic center near the border with Uzbekistan.
-
E.
Cholpon-Ata
Cholpon-Ata is a popular resort town on the northern shore of Lake Issyk-Kul in Kyrgyzstan, known for its beaches, mountain scenery, and archaeological sites.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fcaf610819092bcd3b871665aa5 |
completed | April 1, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1229ec9448190bac9b7a38e030833 |
completed | April 4, 2026, 2:39 p.m. |
| NEDg | Description generation | batch_69d1245db2e48190a56a797a681316d9 |
completed | April 4, 2026, 2:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d124c2a48c819098a24dd2aac734e1 |
completed | April 4, 2026, 2:48 p.m. |
Created at: March 30, 2026, 7:52 p.m.