Triple
T19083578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahipalpur |
E467087
|
entity |
| Predicate | hasNearbyLandmark |
P2064
|
FINISHED |
| Object | Aerocity |
—
|
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: Aerocity | Statement: [Mahipalpur, hasNearbyLandmark, Aerocity]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aerocity Context triple: [Mahipalpur, hasNearbyLandmark, Aerocity]
-
A.
Viman Nagar
Viman Nagar is a prominent residential and commercial neighborhood in Pune, India, known for its proximity to the airport, IT parks, shopping malls, and educational institutions.
-
B.
GIFT City
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.
-
C.
Delhi Aerocity
chosen
Delhi Aerocity is a major Delhi Metro station serving the airport hospitality and commercial district near Indira Gandhi International Airport.
-
D.
Auto Nagar
Auto Nagar is an industrial area in Belagavi known primarily for its concentration of automobile-related workshops, small manufacturing units, and service industries.
-
E.
Piari
Piari is the largest island located within Jaisamand Lake in Rajasthan, India.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34600f88190bd96bcc2c5c08d14 |
completed | April 20, 2026, 8:26 a.m. |
Created at: April 10, 2026, 12:04 p.m.