Triple
T12696030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bannu Airport |
E303335
|
entity |
| Predicate | ICAO code |
P419
|
FINISHED |
| Object |
OPBN
OPBN is the ICAO airport code assigned to Bannu Airport in Pakistan.
|
E998298
|
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: OPBN | Statement: [Bannu Airport, ICAO code, OPBN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OPBN Context triple: [Bannu Airport, ICAO code, OPBN]
-
A.
OPNB
OPNB is Yamaha’s YM2610 sound chip, a classic FM and PCM audio synthesizer widely used in Neo Geo arcade and other game systems of the early 1990s.
-
B.
Ob
Ob is a contemporary Japanese artist associated with Takashi Murakami’s Kaikai Kiki collective, known for her cute yet unsettling, anime-influenced paintings and illustrations.
-
C.
BPN
BPN is the National Rail station code for Blackpool North railway station, a primary rail terminus serving the seaside town of Blackpool in Lancashire, England.
-
D.
OBY
OBY is the National Rail station code for Oyster Bay railway station.
-
E.
PNBC
PNBC is a historically Black Baptist Christian denomination in the United States known for its strong involvement in the civil rights movement and progressive social activism.
- 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: OPBN Triple: [Bannu Airport, ICAO code, OPBN]
Generated description
OPBN is the ICAO airport code assigned to Bannu Airport in Pakistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OPBN Target entity description: OPBN is the ICAO airport code assigned to Bannu Airport in Pakistan.
-
A.
OPNB
OPNB is Yamaha’s YM2610 sound chip, a classic FM and PCM audio synthesizer widely used in Neo Geo arcade and other game systems of the early 1990s.
-
B.
Ob
Ob is a contemporary Japanese artist associated with Takashi Murakami’s Kaikai Kiki collective, known for her cute yet unsettling, anime-influenced paintings and illustrations.
-
C.
BPN
BPN is the National Rail station code for Blackpool North railway station, a primary rail terminus serving the seaside town of Blackpool in Lancashire, England.
-
D.
OBY
OBY is the National Rail station code for Oyster Bay railway station.
-
E.
PNBC
PNBC is a historically Black Baptist Christian denomination in the United States known for its strong involvement in the civil rights movement and progressive social activism.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ebd17081909f983567e4b36533 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671ae935c8190a7fc2cf3c0987248 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f6740129688190b286ce7acb4848c7 |
completed | May 2, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f675249d248190933421df49d3a2ab |
completed | May 2, 2026, 10:05 p.m. |
Created at: April 9, 2026, 5:22 p.m.