Triple
T31501657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RAF Tern Hill |
E803701
|
entity |
| Predicate | hasResidentUnit |
P203367
|
FINISHED |
| Object | No. 5 Flying Training School RAF |
—
|
NE NERFINISHED |
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: No. 5 Flying Training School RAF | Statement: [RAF Tern Hill, hasResidentUnit, No. 5 Flying Training School RAF]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResidentUnit Context triple: [RAF Tern Hill, hasResidentUnit, No. 5 Flying Training School RAF]
-
A.
isResidentialUnitOf
Indicates that a specific residential unit (e.g., apartment, house) belongs to or is part of a larger property, building, or complex.
-
B.
hasResidentialUnitType
Indicates that an entity (such as a building or property) is associated with a specific type or category of residential unit.
-
C.
hasNonHumanResident
Indicates that a place or location is inhabited or occupied by one or more non-human entities.
-
D.
hasHousingUnits
Indicates that an entity possesses or contains a specified number or set of housing units.
-
E.
hasResidenceFeature
Indicates that a residence possesses or is characterized by a specific feature or attribute.
- 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_69f348cae52081909fa8e5f697523ae3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a016cc5abcc8190b64094c777b40f6f |
completed | May 11, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_6a016b997ecc8190818207c57b9cbf17 |
completed | May 11, 2026, 5:39 a.m. |
| PDg | Predicate description generation | batch_6a016cc4fa0081908143a12377491a81 |
completed | May 11, 2026, 5:44 a.m. |
Created at: April 30, 2026, 9:44 p.m.