Triple
T23151320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaugada |
E578329
|
entity |
| Predicate | sharesEdictSeriesWith |
P151122
|
FINISHED |
| Object | Mansehra |
E53257
|
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: Mansehra | Statement: [Jaugada, sharesEdictSeriesWith, Mansehra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mansehra Context triple: [Jaugada, sharesEdictSeriesWith, Mansehra]
-
A.
Mansehra
chosen
Mansehra is a major city in northern Pakistan known as a gateway to the Kaghan Valley and the Karakoram Highway.
-
B.
Mansehra District
Mansehra District is an administrative district in Pakistan’s Khyber Pakhtunkhwa province, known for its mountainous terrain, historical sites, and role as a gateway to the Kaghan Valley and northern areas.
-
C.
Baramulla
Baramulla is a town in the Indian union territory of Jammu and Kashmir, known as a historic gateway to the Kashmir Valley and an important settlement along the Jhelum River.
-
D.
Parachinar
Parachinar is a major town in northwestern Pakistan near the Afghan border, known as the administrative center of Kurram District and for its strategic and sectarian-sensitive location.
-
E.
Nawabpur
Nawabpur is a historic commercial neighborhood in Old Dhaka, Bangladesh, known especially for its bustling hardware and electronics markets.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ef982488190984a6358bdcd577c |
completed | April 29, 2026, 4:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3098168481908aa4e4a985314db1 |
completed | May 19, 2026, 9:42 a.m. |
Created at: April 17, 2026, 4:01 p.m.