Triple
T28040924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Napier Field, Alabama |
E708536
|
entity |
| Predicate | formerPrimaryFunctionOfNearbyFacility |
P194603
|
FINISHED |
| Object | Army Air Forces training base |
—
|
LITERAL 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: Army Air Forces training base | Statement: [Napier Field, Alabama, formerPrimaryFunctionOfNearbyFacility, Army Air Forces training base]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerPrimaryFunctionOfNearbyFacility Context triple: [Napier Field, Alabama, formerPrimaryFunctionOfNearbyFacility, Army Air Forces training base]
-
A.
nearbyFacilityType
Indicates that a facility of a specified type is located close to a given reference entity or location.
-
B.
operatedFacilityNear
Indicates that an entity operated a facility located in close geographic proximity to another specified entity or place.
-
C.
primaryFacilityType
Indicates the main or predominant type or category of facility associated with an entity.
-
D.
hasNearbyFacility
Indicates that one entity is located close to or in the vicinity of a particular facility.
-
E.
servesFacility
Indicates that one entity provides services or support to a particular facility as its client, target, or area of operation.
- F. None of above. chosen
Provenance (4 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_69ef9b6cf538819094a633ffa67afec1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
| PDg | Predicate description generation | batch_69fd7e35967081909f8bc8389d976ffd |
completed | May 8, 2026, 6:09 a.m. |
Created at: April 27, 2026, 8:25 p.m.