Triple
T7296325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nadia district |
E164529
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Tehatta
Tehatta is a town in the Nadia district of the Indian state of West Bengal, known as a local administrative and commercial center for the surrounding rural region.
|
E655778
|
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: Tehatta | Statement: [Nadia district, containsTown, Tehatta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tehatta Context triple: [Nadia district, containsTown, Tehatta]
-
A.
The Tea
The Tea is an 1880 oil painting by American Impressionist Mary Cassatt that depicts two women in a refined domestic interior, exemplifying her focus on the private lives of women.
-
B.
TEA
TEA is the state government agency responsible for overseeing public primary and secondary education in Texas.
-
C.
Chai
Chai is a popular JavaScript assertion library commonly used in testing frameworks like Mocha to provide expressive, readable test assertions.
-
D.
Kofy
Kofy is a variant spelling of the given name Kofi, commonly used in some personal or brand contexts.
-
E.
Fika
Fika is a town and Local Government Area in northeastern Nigeria’s Yobe State, known historically as part of the Fika Emirate and for its role in regional trade and agriculture.
- 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: Tehatta Triple: [Nadia district, containsTown, Tehatta]
Generated description
Tehatta is a town in the Nadia district of the Indian state of West Bengal, known as a local administrative and commercial center for the surrounding rural region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tehatta Target entity description: Tehatta is a town in the Nadia district of the Indian state of West Bengal, known as a local administrative and commercial center for the surrounding rural region.
-
A.
The Tea
The Tea is an 1880 oil painting by American Impressionist Mary Cassatt that depicts two women in a refined domestic interior, exemplifying her focus on the private lives of women.
-
B.
TEA
TEA is the state government agency responsible for overseeing public primary and secondary education in Texas.
-
C.
Chai
Chai is a popular JavaScript assertion library commonly used in testing frameworks like Mocha to provide expressive, readable test assertions.
-
D.
Kofy
Kofy is a variant spelling of the given name Kofi, commonly used in some personal or brand contexts.
-
E.
Fika
Fika is a town and Local Government Area in northeastern Nigeria’s Yobe State, known historically as part of the Fika Emirate and for its role in regional trade and agriculture.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8d0c6c8190b32cd08b9a5d96cc |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e547c7b88190b792495efb3a215c |
completed | March 28, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_69c7e61a517081909fd5dedb8b9c58f0 |
completed | March 28, 2026, 2:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7e79dabc08190b486660def5d6c9e |
completed | March 28, 2026, 2:37 p.m. |
Created at: March 27, 2026, 3 p.m.