Triple
T25394316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Cerritos |
E636249
|
entity |
| Predicate | deckFocus |
P31
|
FINISHED |
| Object | lower decks |
—
|
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: lower decks | Statement: [USS Cerritos, deckFocus, lower decks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deckFocus Context triple: [USS Cerritos, deckFocus, lower decks]
-
A.
deckLocation
Indicates the specific deck or level on which an entity is located within a multi-deck structure or vehicle.
-
B.
collectingFocus
Indicates that an entity is directing attention or effort toward gathering or assembling items, information, or resources.
-
C.
deckNumber
Indicates the specific deck or floor level associated with an entity within a multi-level structure or vehicle.
-
D.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
E.
categoryFocus
Indicates that one entity is the primary subject, theme, or focal point within the broader category defined by the other 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_69e75db263888190b77fff9e2827b9a2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5657379208190bd1ca0607af3e6c5 |
completed | May 2, 2026, 2:46 a.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:49 p.m.