Triple
T12118478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sikar Junction |
E288627
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Sikar city |
E57493
|
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: Sikar city | Statement: [Sikar Junction, serves, Sikar city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sikar city Context triple: [Sikar Junction, serves, Sikar city]
-
A.
Sibi city
Sibi city is a historic urban center in Balochistan, Pakistan, known for its cultural significance and as the venue of the famous annual Sibi Mela livestock and cultural festival.
-
B.
Raisinghnagar
Raisinghnagar is a town and administrative center in the northern Indian state of Rajasthan, known for its agricultural economy within the arid region near the India–Pakistan border.
-
C.
Sikandarpur
Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
-
D.
Sant Nagar
Sant Nagar is a residential neighborhood located within the North Delhi district of India’s National Capital Territory.
-
E.
Sikar
chosen
Sikar is a prominent city in northern India known for its historic havelis, educational institutions, and role as a commercial hub in the Shekhawati region.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915760d208190b68f5e024b3676ba |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ee285208190a0183e30c749f955 |
completed | May 2, 2026, 6:13 p.m. |
Created at: April 8, 2026, 9:49 p.m.