Triple
T35412092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Marina |
E1023538
|
entity |
| Predicate | nearbyMilitaryHistory |
P19544
|
FINISHED |
| Object | Fort Ord U.S. Army base |
—
|
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: Fort Ord U.S. Army base | Statement: [City of Marina, nearbyMilitaryHistory, Fort Ord U.S. Army base]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyMilitaryHistory Context triple: [City of Marina, nearbyMilitaryHistory, Fort Ord U.S. Army base]
-
A.
hasNearbyMilitaryHistorySite
chosen
Indicates that an entity is located close to a site of historical military significance, such as a battlefield, fort, or memorial.
-
B.
associatedWithMilitaryHistory
Indicates a relationship in which something is connected or relevant to military history, such as events, figures, institutions, or artifacts.
-
C.
hasMilitarySignificanceSince
Indicates that something has held military importance or strategic value starting from a specified point in time.
-
D.
militaryHistoryTopic
Indicates that there exists a relationship where the subject is a topic, theme, or subject matter specifically concerned with military history.
-
E.
regionOfBattlesCommemorated
Indicates the geographic region where the battles being commemorated took place.
- 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_69f76df54bac8190bd0d3b0eb35cda5f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69feb342994081909481ec8ec5d44928 |
completed | May 9, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69feb046e4e48190b96649aa28529cc9 |
completed | May 9, 2026, 3:55 a.m. |
Created at: May 3, 2026, 4:03 p.m.