Triple
T4378945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rabwah |
E99079
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Chenab Nagar |
E435739
|
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: Chenab Nagar | Statement: [Rabwah, alsoKnownAs, Chenab Nagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chenab Nagar Context triple: [Rabwah, alsoKnownAs, Chenab Nagar]
-
A.
Chenab Nagar
chosen
Chenab Nagar is a town in Pakistan’s Punjab province known as the headquarters of the Ahmadiyya Muslim Community and formerly called Rabwah.
-
B.
Barwala
Barwala is a prominent town in the Hisar district of Haryana, India, known as a local commercial and administrative center for surrounding rural areas.
-
C.
Nagaur
Nagaur is a historic city in Rajasthan, India, known for its medieval fort, cultural heritage, and role as an important center in the Marwar region.
-
D.
Udhampur
Udhampur is a town in the Indian union territory of Jammu and Kashmir, known for its strategic military importance and location in the Himalayan foothills.
-
E.
Nawanshahr
Nawanshahr is a town and district headquarters in the Doaba region of Punjab, India, known for its agricultural base and significant Punjabi diaspora.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35240092c81908e26ff607d665e7a |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5e210108190bf14731ce3774b6b |
completed | March 14, 2026, 11:57 p.m. |
Created at: March 12, 2026, 11:18 p.m.