Triple
T33119324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Aerospace Corporation military forces |
E847549
|
entity |
| Predicate | operatesOnLocation |
P104070
|
FINISHED |
| Object | Olduvai research facility |
—
|
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: Olduvai research facility | Statement: [Union Aerospace Corporation military forces, operatesOnLocation, Olduvai research facility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesOnLocation Context triple: [Union Aerospace Corporation military forces, operatesOnLocation, Olduvai research facility]
-
A.
operatorOfLocation
chosen
Indicates that an entity operates, manages, or runs a particular location or facility.
-
B.
operationLocation
Indicates the place or site where an operation, activity, or process is carried out.
-
C.
servesAtLocation
Indicates that an entity provides its services or functions at a specified location.
-
D.
operatedNear
Indicates that one entity performed an operation or activity in close physical proximity to another entity.
-
E.
operatesNear
Indicates that one entity performs its activities or functions in close physical proximity to another entity.
- F. None of above.
Provenance (3 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_69f3495751a081909850af5843da40dc |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a005e8a2f7c819085bfc6f04b866d87 |
completed | May 10, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_6a005de82ef08190a015b385d1d3443c |
completed | May 10, 2026, 10:28 a.m. |
Created at: May 1, 2026, 1:27 a.m.