Triple
T21243573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naraina Industrial Area |
E523543
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Naraina |
—
|
NE NERFINISHED |
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: Naraina | Statement: [Naraina Industrial Area, locatedIn, Naraina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naraina Context triple: [Naraina Industrial Area, locatedIn, Naraina]
-
A.
Naraina
chosen
Naraina is a locality in West Delhi, India, known for its mix of residential areas and industrial estates and its location along major city transport routes.
-
B.
Naraini
Naraini is a town and administrative subdivision located in the Banda district of Uttar Pradesh, India.
-
C.
Sulochana
Sulochana is a celebrated Nepali epic poem by Laxmi Prasad Devkota, renowned for its poetic depth and cultural significance in Nepali literature.
-
D.
Suniti
Suniti was a daughter of the prominent Indian freedom fighter and political leader Chittaranjan Das.
-
E.
Ahilawati
Ahilawati is a character from Javanese and Indonesian wayang (shadow puppet) epics, known primarily as the wife of the heroic warrior Gatotkaca.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7352507448190ba1f14cef16d69be |
completed | April 21, 2026, 8:28 a.m. |
Created at: April 16, 2026, 3:47 p.m.