Triple
T34475662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Air Bridge |
E885024
|
entity |
| Predicate | mainAirfield |
P66457
|
FINISHED |
| Object |
Pranjani airstrip
Pranjani airstrip is a small World War II-era landing field in Serbia known for its role in Allied airlift and rescue operations.
|
E2097892
|
NE FINISHED |
How this triple was built (3 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: Pranjani airstrip | Statement: [Operation Air Bridge, mainAirfield, Pranjani airstrip]
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: Pranjani airstrip Triple: [Operation Air Bridge, mainAirfield, Pranjani airstrip]
Generated description
Pranjani airstrip is a small World War II-era landing field in Serbia known for its role in Allied airlift and rescue operations.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainAirfield Context triple: [Operation Air Bridge, mainAirfield, Pranjani airstrip]
-
A.
airfieldAlsoKnownAs
Indicates that an airfield is referred to by an alternative name or alias.
-
B.
mainAccessAirport
Indicates that one location serves as the primary airport providing access to another place or region.
-
C.
containsAirfield
Indicates that a location or area includes at least one airfield within its boundaries.
-
D.
airfieldRole
chosen
Indicates the functional role or operational purpose that an airfield serves within a broader system or context.
-
E.
isPrimaryRunwayOf
Indicates that a runway serves as the main or principal runway for a particular airport or airfield.
- F. None of above.
Provenance (6 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_69f349c880408190ade571c471ab154a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f728a345488190bd7e6751b09ac591 |
completed | May 3, 2026, 10:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3721343058819080c21d6c07fdc5de |
completed | June 20, 2026, 11:24 p.m. |
| NEDg | Description generation | batch_6a3721a992c08190a4579307d8174190 |
completed | June 20, 2026, 11:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a37221f4b9c8190964f222e14227227 |
completed | June 20, 2026, 11:28 p.m. |
| PD | Predicate disambiguation | batch_69f7283ef2608190a7a85d7e7f5332c0 |
completed | May 3, 2026, 10:49 a.m. |
Created at: May 1, 2026, 2:01 a.m.