Triple
T14251121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nawabshah District |
E353263
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object | Nawabshah Airport |
E1013740
|
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: Nawabshah Airport | Statement: [Nawabshah District, hasAirport, Nawabshah Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nawabshah Airport Context triple: [Nawabshah District, hasAirport, Nawabshah Airport]
-
A.
Nawabshah Airport
chosen
Nawabshah Airport is a regional public airport serving the city of Nawabshah in Sindh, Pakistan.
-
B.
Bahawalpur Airport
Bahawalpur Airport is a regional domestic airport serving the city of Bahawalpur and surrounding areas in southern Punjab, Pakistan.
-
C.
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.
-
D.
Dera Ismail Khan Airport
Dera Ismail Khan Airport is a domestic airport in Khyber Pakhtunkhwa, Pakistan, serving the city of Dera Ismail Khan and its surrounding region.
-
E.
Sialkot International Airport
Sialkot International Airport is a privately owned international airport in Pakistan that serves the industrial city of Sialkot and its surrounding region, handling both passenger and cargo traffic.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6296f9d0819086f62f525d07eb12 |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd325815d48190b070866f41986847 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:08 a.m.