Triple
T19069197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Se Kong |
E466748
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Xe Kông
Xe Kông is a river in Southeast Asia that flows through Laos, Vietnam, and Cambodia, serving as a significant tributary of the Mekong River.
|
E1357490
|
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: Xe Kông | Statement: [Se Kong, hasAlternativeName, Xe Kông]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xe Kông Context triple: [Se Kong, hasAlternativeName, Xe Kông]
-
A.
Kogon
Kogon is a small city in Uzbekistan known for its location near the historic center of Bukhara and its role as a local transport and industrial hub.
-
B.
Mercara
Mercara is the former anglicized name for Madikeri, a hill town and district headquarters in the Coorg (Kodagu) region of Karnataka, India.
-
C.
Soko
Soko is a French singer-songwriter and actress known for her emotionally raw music and roles in independent films.
-
D.
Citura
Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
-
E.
Moturakau
Moturakau is a small, uninhabited islet in the Aitutaki Lagoon of the Cook Islands, known for its pristine beaches and turquoise waters.
- 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: Xe Kông Triple: [Se Kong, hasAlternativeName, Xe Kông]
Generated description
Xe Kông is a river in Southeast Asia that flows through Laos, Vietnam, and Cambodia, serving as a significant tributary of the Mekong River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xe Kông Target entity description: Xe Kông is a river in Southeast Asia that flows through Laos, Vietnam, and Cambodia, serving as a significant tributary of the Mekong River.
-
A.
Kogon
Kogon is a small city in Uzbekistan known for its location near the historic center of Bukhara and its role as a local transport and industrial hub.
-
B.
Mercara
Mercara is the former anglicized name for Madikeri, a hill town and district headquarters in the Coorg (Kodagu) region of Karnataka, India.
-
C.
Soko
Soko is a French singer-songwriter and actress known for her emotionally raw music and roles in independent films.
-
D.
Citura
Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
-
E.
Moturakau
Moturakau is a small, uninhabited islet in the Aitutaki Lagoon of the Cook Islands, known for its pristine beaches and turquoise waters.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e19caa708190876a2cb06aa0c9cc |
completed | April 20, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05d35a706c8190a658d1b145db8a31 |
completed | May 14, 2026, 1:51 p.m. |
| NEDg | Description generation | batch_6a05d68590c88190a17da95cc59869e2 |
completed | May 14, 2026, 2:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05d724aa948190876a09d6cc264dee |
completed | May 14, 2026, 2:07 p.m. |
Created at: April 10, 2026, 12:03 p.m.