Triple
T13157579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghaziabad Lok Sabha constituency |
E312629
|
entity |
| Predicate | assemblySegment |
P63908
|
FINISHED |
| Object | Sahibabad |
E1024534
|
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: Sahibabad | Statement: [Ghaziabad Lok Sabha constituency, assemblySegment, Sahibabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sahibabad Context triple: [Ghaziabad Lok Sabha constituency, assemblySegment, Sahibabad]
-
A.
Sahibabad
chosen
Sahibabad is a suburban city near Ghaziabad in the Indian state of Uttar Pradesh, known for its large industrial estates and proximity to Delhi.
-
B.
Bhaderwahi
Bhaderwahi is an Indo-Aryan language spoken primarily in the Bhaderwah region of Jammu and Kashmir, India.
-
C.
Vartak Nagar
Vartak Nagar is a prominent residential and commercial locality in the city of Thane, Maharashtra, known for its dense housing complexes and proximity to major industrial and business areas.
-
D.
Margonda Raya
Margonda Raya is a main commercial and transportation artery in Depok, Indonesia, lined with shops, malls, campuses, and dense urban activity.
-
E.
Gandhi Nagar
Gandhi Nagar is a residential and commercial neighborhood in East Delhi, India, known for its large textile and garment market.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c084028819093bc4e94d53b4f17 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5df07ec8190be64ed80d7e220b7 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:12 p.m.