Triple
T20075794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pandit Deendayal Energy University |
E499859
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | GIFT City area |
—
|
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: GIFT City area | Statement: [Pandit Deendayal Energy University, locatedIn, GIFT City area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GIFT City area Context triple: [Pandit Deendayal Energy University, locatedIn, GIFT City area]
-
A.
GIFT City
chosen
GIFT City is India’s first operational smart business district and international financial services centre, developed as a global hub for finance and technology in Gujarat.
-
B.
Janpath area
Janpath area is a central locality in New Delhi known for its bustling market, government offices, and proximity to major cultural and commercial landmarks.
-
C.
Simi Town
Simi Town is the main urban center and administrative hub of the Simi area.
-
D.
Masti Gate area
The Masti Gate area is a historic neighborhood in Lahore’s old walled city, known for its traditional markets, narrow streets, and Mughal-era architecture surrounding one of the city’s ancient gates.
-
E.
GTB Nagar
GTB Nagar is a prominent suburban railway station in Mumbai, India, serving commuters on the city’s Harbour Line.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6643bcfd48190893abd3734f15cd3 |
completed | April 20, 2026, 5:37 p.m. |
Created at: April 11, 2026, 3:40 p.m.