Triple
T7957233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalyani |
E184770
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Nadia district |
E164529
|
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: Nadia district | Statement: [Kalyani, locatedIn, Nadia district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nadia district Context triple: [Kalyani, locatedIn, Nadia district]
-
A.
Nadia district
chosen
Nadia district is an administrative district in the Indian state of West Bengal, known for its historical towns, cultural heritage, and agricultural economy.
-
B.
Almaza district
Almaza district is a neighborhood in eastern Cairo, Egypt, known for its residential areas, military facilities, and the historic Almaza Airport.
-
C.
Badrashin district
Badrashin district is an administrative region in Giza Governorate, Egypt, known for encompassing several important archaeological and historical sites near ancient Memphis.
-
D.
Nazyan District
Nazyan District is an administrative district in eastern Afghanistan known for its predominantly Pashtun population and location within Nangarhar Province near the Pakistan border.
-
E.
Baabda District
Baabda District is an administrative district in the Mount Lebanon Governorate of Lebanon that includes key suburbs of Beirut and has historically been a significant political and military area.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b7d36c081908cc8760a0dbf6001 |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc565efef48190915892c5d8af852c |
completed | March 31, 2026, 11:18 p.m. |
Created at: March 30, 2026, 5:11 p.m.