Triple
T34933653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 11e RAMa |
E1007508
|
entity |
| Predicate | isMarineUnit |
P181873
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [11e RAMa, isMarineUnit, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMarineUnit Context triple: [11e RAMa, isMarineUnit, true]
-
A.
isMarine
Indicates that an entity lives in, is adapted to, or is primarily associated with the marine (ocean or sea) environment.
-
B.
isAboutMilitaryUnit
Indicates that something (such as a document, statement, or resource) concerns, discusses, or pertains to a specific military unit.
-
C.
isCombatUnit
Indicates that an entity functions as a unit specifically designated and equipped to engage in combat operations.
-
D.
isGroundUnit
Indicates that an entity functions as a unit operating on or restricted to the ground, as opposed to air, sea, or space units.
-
E.
isFrontlineUnit
Indicates that an entity functions as a primary combat or operational unit positioned at or near the front line of engagement.
- 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782cf61948190b98185d961609554 |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f782c848fc8190baea8c845ca9079f |
completed | May 3, 2026, 5:15 p.m. |
Created at: May 3, 2026, 4 p.m.