Triple
T22731716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Van region |
E562149
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Van city
Van city is a major urban center in eastern Turkey, known for its proximity to Lake Van and its historical and cultural significance in the region.
|
E1552225
|
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: Van city | Statement: [Lake Van region, hasPart, Van city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Van city Context triple: [Lake Van region, hasPart, Van city]
-
A.
Sen City
Sen City is a musical artist known for contributing to the hip-hop project "Purple Haze 2."
-
B.
V City
V City is a major shopping mall and residential-commercial complex located in Tuen Mun, Hong Kong.
-
C.
Sunrise City
Sunrise City is the coastal Florida city of Fort Pierce, known for its picturesque Atlantic Ocean sunrises and historic waterfront charm.
-
D.
Sunrise City
Sunrise City is the nickname of San Nicolas, highlighting its association with beautiful early-morning vistas and the dawn.
-
E.
Ice City
Ice City is the popular nickname for Harbin, a major northeastern Chinese city renowned for its frigid winters and spectacular ice and snow sculptures.
- 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: Van city Triple: [Lake Van region, hasPart, Van city]
Generated description
Van city is a major urban center in eastern Turkey, known for its proximity to Lake Van and its historical and cultural significance in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Van city Target entity description: Van city is a major urban center in eastern Turkey, known for its proximity to Lake Van and its historical and cultural significance in the region.
-
A.
Sen City
Sen City is a musical artist known for contributing to the hip-hop project "Purple Haze 2."
-
B.
V City
V City is a major shopping mall and residential-commercial complex located in Tuen Mun, Hong Kong.
-
C.
Sunrise City
Sunrise City is the coastal Florida city of Fort Pierce, known for its picturesque Atlantic Ocean sunrises and historic waterfront charm.
-
D.
Sunrise City
Sunrise City is the nickname of San Nicolas, highlighting its association with beautiful early-morning vistas and the dawn.
-
E.
Ice City
Ice City is the popular nickname for Harbin, a major northeastern Chinese city renowned for its frigid winters and spectacular ice and snow sculptures.
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1792de040819093aa904bf751a788 |
completed | April 29, 2026, 3:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b8fca5f10819083604273aae3fcc3 |
completed | May 18, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_6a0b93bc59e481909e2fbee11a29b7a9 |
completed | May 18, 2026, 10:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b9488db048190b73ff89215ffeb74 |
completed | May 18, 2026, 10:36 p.m. |
Created at: April 17, 2026, 3:21 p.m.