Triple
T30594334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Elena |
E778743
|
entity |
| Predicate | presentUseOfSite |
P16008
|
FINISHED |
| Object | U.S. military installation area |
—
|
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: U.S. military installation area | Statement: [Santa Elena, presentUseOfSite, U.S. military installation area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presentUseOfSite Context triple: [Santa Elena, presentUseOfSite, U.S. military installation area]
-
A.
currentSiteUse
chosen
Indicates how a site is presently being used or the function it currently serves.
-
B.
hasSiteUse
Indicates that a site is used or designated for a particular function, activity, or purpose.
-
C.
originalSiteUse
Indicates the historical or initial functional use or purpose assigned to a particular site before any subsequent changes or developments.
-
D.
presentOn
Indicates that one entity is physically located on the surface or within the bounds of another entity.
-
E.
reusesSiteOf
Indicates that one entity occupies or uses the same site or location that was previously used by 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_69f224a1570c8190a85d3ac330479a79 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 29, 2026, 8:24 p.m.