Triple
T5725056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anand district |
E126244
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Anand |
E365453
|
NE FINISHED |
How this triple was built (2 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: Anand | Statement: [Anand district, hasCity, Anand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anand Context triple: [Anand district, hasCity, Anand]
-
A.
Anand
chosen
Anand is a city in the Indian state of Gujarat, known as a major dairy hub and home to the Amul cooperative.
-
B.
Viswanathan Anand
Viswanathan Anand is an Indian chess grandmaster and former World Chess Champion widely regarded as one of the greatest chess players of all time.
-
C.
Nihal
Nihal is a bright yellow giant star in the constellation Lepus, notable as one of its most luminous members.
-
D.
Vladimir Kramnik
Vladimir Kramnik is a Russian chess grandmaster and former World Chess Champion renowned for defeating Garry Kasparov in 2000 and for his deep strategic style.
-
E.
Michael Adams
Michael Adams is a common personal name shared by numerous individuals across fields such as sports, politics, academia, and the arts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025085f508190adf5d540bc8a5b1c |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097f0978881908f2b6fb4e6d5e4cd |
completed | March 23, 2026, 1:31 a.m. |
Created at: March 22, 2026, 3:47 p.m.