Triple
T4316315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jhang |
E96399
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object | Jhang Sadar railway station |
E430423
|
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: Jhang Sadar railway station | Statement: [Jhang, hasRailwayStation, Jhang Sadar railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jhang Sadar railway station Context triple: [Jhang, hasRailwayStation, Jhang Sadar railway station]
-
A.
Jhang City railway station
chosen
Jhang City railway station is a passenger train station serving the city of Jhang in the Punjab province of Pakistan.
-
B.
Nawabshah Railway Station
Nawabshah Railway Station is a key rail transport hub serving the city of Nawabshah in the Sindh province of Pakistan.
-
C.
Quetta Railway Station
Quetta Railway Station is a major rail hub in the city of Quetta, Pakistan, serving as a key junction for passenger and freight services in the region.
-
D.
Mirpur Khas railway station
Mirpur Khas railway station is a regional rail hub in Mirpur Khas, Sindh, Pakistan, serving as a key stop on local and intercity train routes.
-
E.
Rawalpindi Railway Station
Rawalpindi Railway Station is a major railway hub in Pakistan that serves the city of Rawalpindi and connects it to key destinations across the country.
- 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_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350f60dfc819098202b7eb3bbf402 |
completed | March 12, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db9193c08190a6a63b82f604ecde |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:12 p.m.