Triple
T8639309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okhla Industrial Area |
E204601
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Kalkaji |
E724438
|
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: Kalkaji | Statement: [Okhla Industrial Area, locatedNear, Kalkaji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalkaji Context triple: [Okhla Industrial Area, locatedNear, Kalkaji]
-
A.
Kalkaji
chosen
Kalkaji is a prominent residential and commercial neighborhood in South Delhi, known for the famous Kalkaji Temple and its proximity to major business and shopping hubs.
-
B.
Kalkan
Kalkan is a picturesque seaside town on Turkey’s Mediterranean coast, known for its historic architecture, steep cobbled streets, and upscale tourism.
-
C.
Kalsa
Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
-
D.
Kalkin
Kalkin is an alternative name or form of Kalki, the prophesied future avatar of the Hindu god Vishnu who is destined to appear at the end of the current age to restore righteousness.
-
E.
Kutha
Kutha was an ancient Mesopotamian city best known as the principal cult center of the underworld god Nergal.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc47650a14819094855aa8d062ebbc |
completed | March 31, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc340528819085c80b69d6d32a34 |
completed | April 2, 2026, 6:57 p.m. |
Created at: March 30, 2026, 6:28 p.m.