Triple
T16119447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Sultan Air Base |
E391093
|
entity |
| Predicate | roleForUS |
P121553
|
FINISHED |
| Object | forward operating 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: forward operating base | Statement: [Prince Sultan Air Base, roleForUS, forward operating base]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleForUS Context triple: [Prince Sultan Air Base, roleForUS, forward operating base]
-
A.
roleInPhilippines
Indicates that an entity holds or has held an official or notable role, position, or function within the Philippines.
-
B.
roleInGemini10
Indicates that an entity holds a specific role or position in the context of the Gemini 10 mission or project.
-
C.
roleInCanada
Indicates that one entity holds or performs a specific role, position, or function within the context of Canada.
-
D.
roleInEurope
Indicates that an entity holds a specific function, position, or responsibility within a European context, such as within Europe as a region or its institutions.
-
E.
roleAtD.C.United
Indicates that an entity holds or held a specific role or position within the D.C. United soccer organization.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2016d527c8190928e73661b18a914 |
completed | April 17, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e1828518c48190a8ef3aaa46a1f639 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e183b9d3f08190953ada68f4272996 |
completed | April 17, 2026, 12:50 a.m. |
Created at: April 10, 2026, 5 a.m.