Triple
T20491346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jispa |
E502751
|
entity |
| Predicate | locatedOnRoute |
P6309
|
FINISHED |
| Object | NH3 (India) |
—
|
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: NH3 (India) | Statement: [Jispa, locatedOnRoute, NH3 (India)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NH3 (India) Context triple: [Jispa, locatedOnRoute, NH3 (India)]
-
A.
NH3 (India)
chosen
NH3 (India) is a major national highway that serves as a key transportation route connecting important cities and regions in India.
-
B.
Narsimha Enterprises
Narsimha Enterprises is a film production company associated with Indian producer Boney Kapoor, known for backing various Hindi cinema projects.
-
C.
Orange India Holdings
Orange India Holdings is an investment company that acquired the Spyker Formula One racing team.
-
D.
Taisei India Private Limited
Taisei India Private Limited is the Indian subsidiary of Taisei Corporation, engaged in construction and engineering projects within India.
-
E.
सेवा भारती
सेवा भारती एक भारतीय सामाजिक सेवा संगठन है जो विशेष रूप से वंचित और पिछड़े वर्गों के लिए शिक्षा, स्वास्थ्य और सामुदायिक विकास से जुड़ी विभिन्न सेवाएँ संचालित करता है।
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cba5b708190bef437acf6321b81 |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.