Triple
T2796741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalbandin |
E53053
|
entity |
| Predicate | hasTransportFacility |
P2413
|
FINISHED |
| Object |
Dalbandin Airport
Dalbandin Airport is a small domestic airport serving the town of Dalbandin in Balochistan, Pakistan, providing regional air connectivity.
|
E299461
|
NE FINISHED |
How this triple was built (4 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: Dalbandin Airport | Statement: [Dalbandin, hasTransportFacility, Dalbandin Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dalbandin Airport Context triple: [Dalbandin, hasTransportFacility, Dalbandin Airport]
-
A.
Shah Makhdum Airport
Shah Makhdum Airport is a regional domestic airport serving the city of Rajshahi in western Bangladesh.
-
B.
Bacha Khan International Airport
Bacha Khan International Airport is the main international airport serving Peshawar, Pakistan, handling both domestic and international flights for the region.
-
C.
Kohat Airport
Kohat Airport is a domestic airport serving the city of Kohat in Khyber Pakhtunkhwa, Pakistan.
-
D.
Nal Airport
Nal Airport is a domestic airport serving the city of Bikaner in the Indian state of Rajasthan.
-
E.
Sabha Airport
Sabha Airport is a public airport serving the city of Sabha in southwestern Libya, providing regional air transport connections for the surrounding Fezzan region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dalbandin Airport Triple: [Dalbandin, hasTransportFacility, Dalbandin Airport]
Generated description
Dalbandin Airport is a small domestic airport serving the town of Dalbandin in Balochistan, Pakistan, providing regional air connectivity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dalbandin Airport Target entity description: Dalbandin Airport is a small domestic airport serving the town of Dalbandin in Balochistan, Pakistan, providing regional air connectivity.
-
A.
Shah Makhdum Airport
Shah Makhdum Airport is a regional domestic airport serving the city of Rajshahi in western Bangladesh.
-
B.
Bacha Khan International Airport
Bacha Khan International Airport is the main international airport serving Peshawar, Pakistan, handling both domestic and international flights for the region.
-
C.
Kohat Airport
Kohat Airport is a domestic airport serving the city of Kohat in Khyber Pakhtunkhwa, Pakistan.
-
D.
Nal Airport
Nal Airport is a domestic airport serving the city of Bikaner in the Indian state of Rajasthan.
-
E.
Sabha Airport
Sabha Airport is a public airport serving the city of Sabha in southwestern Libya, providing regional air transport connections for the surrounding Fezzan region.
- F. None of above. chosen
Provenance (5 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf0f4988190bffc3abab7edbb81 |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc6646c2c81908157d8f03cb8376d |
completed | March 10, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69afc70a4e008190a846d23e1aa73bb1 |
completed | March 10, 2026, 7:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc792051c8190b8c95156e5fcfe2f |
completed | March 10, 2026, 7:26 a.m. |
Created at: March 6, 2026, 9:58 p.m.