Triple
T2894879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Majha |
E63912
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Amritsar |
E23792
|
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: Amritsar | Statement: [Majha, hasMajorCity, Amritsar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amritsar Context triple: [Majha, hasMajorCity, Amritsar]
-
A.
Amritsar
chosen
Amritsar is a historic city in the Indian state of Punjab, renowned as the spiritual center of Sikhism and home to the Golden Temple.
-
B.
Jalandhar
Jalandhar is a major city in the Indian state of Punjab, known as an important commercial and cultural center, particularly famous for its sports goods and manufacturing industries.
-
C.
Nawanshahr
Nawanshahr is a town and district headquarters in the Doaba region of Punjab, India, known for its agricultural base and significant Punjabi diaspora.
-
D.
Patiala
Patiala is a historic city in the Indian state of Punjab, known for its royal heritage, distinctive architecture, and cultural contributions such as the Patiala peg and Patiala salwar.
-
E.
Kapurthala
Kapurthala is a historic city in the Indian state of Punjab, noted for its distinctive Indo-French architectural heritage and former princely-state status.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe06509808190b673222b9ae3d599 |
completed | March 7, 2026, 8:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f2e10b0819090455b876abe821b |
completed | March 12, 2026, 12:56 a.m. |
Created at: March 6, 2026, 10:07 p.m.