Triple
T15023808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 14/32 |
E378154
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Sukkur Airport |
E378154
|
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: Sukkur Airport | Statement: [Runway 14/32, usedBy, Sukkur Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sukkur Airport Context triple: [Runway 14/32, usedBy, Sukkur Airport]
-
A.
Sukkur Airport
chosen
Sukkur Airport is a domestic airport in Sukkur, Sindh, Pakistan, serving as an important regional hub for air travel in the upper Sindh region.
-
B.
Bahawalpur Airport
Bahawalpur Airport is a regional domestic airport serving the city of Bahawalpur and surrounding areas in southern Punjab, Pakistan.
-
C.
Multan International Airport
Multan International Airport is a major airport in southern Punjab, Pakistan, providing domestic and international air services to the city of Multan and its surrounding region.
-
D.
Faisalabad International Airport
Faisalabad International Airport is a major airport serving the city of Faisalabad in Pakistan, handling domestic and international passenger and cargo flights.
-
E.
Rahim Yar Khan Airport
Rahim Yar Khan Airport is a regional public airport in Rahim Yar Khan, Pakistan, serving domestic flights and connecting the city to major urban centers in 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7de117c8190a1b9fa8d1602057e |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd499108190b803c6afc0fa00bc |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:56 a.m.