Triple
T8392051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Ord National Monument |
E197964
|
entity |
| Predicate | partlyOnLandOf |
P15446
|
FINISHED |
| Object | former Fort Ord Army base BRAC lands |
—
|
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: former Fort Ord Army base BRAC lands | Statement: [Fort Ord National Monument, partlyOnLandOf, former Fort Ord Army base BRAC lands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partlyOnLandOf Context triple: [Fort Ord National Monument, partlyOnLandOf, former Fort Ord Army base BRAC lands]
-
A.
partlyLocatedOn
chosen
Indicates that one entity is situated such that only a portion of it lies on or within the spatial extent of another entity.
-
B.
isPartOfCoastOf
Indicates that one entity forms a segment or component of the coastline belonging to another entity.
-
C.
hasCityOnShore
Indicates that a city is located on or directly adjacent to the shore of a body of water.
-
D.
hasCoastlineOn
Indicates that one entity’s coastline borders or is directly adjacent to a specified body of water.
-
E.
partOfIsland
Indicates that one entity is a portion or component of an island.
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb810e16b081908e2c25bfb9d590ed |
completed | March 31, 2026, 8:08 a.m. |
| PD | Predicate disambiguation | batch_69cb70d24b248190a326aa6804f942b5 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:03 p.m.