Triple
T29189104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebel Fleet |
E739944
|
entity |
| Predicate | includesShipType |
P160292
|
FINISHED |
| Object | Mon Calamari Star Cruiser |
—
|
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: Mon Calamari Star Cruiser | Statement: [Rebel Fleet, includesShipType, Mon Calamari Star Cruiser]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesShipType Context triple: [Rebel Fleet, includesShipType, Mon Calamari Star Cruiser]
-
A.
hasShipTypeCharacteristic
Indicates that a ship possesses a specific characteristic or property related to its type.
-
B.
hasShipCategory
Indicates that an entity is associated with or classified under a particular category or type of ship.
-
C.
appliesToShips
Indicates that the specified condition, rule, or attribute is relevant to or affects ships.
-
D.
hasShipInClass
chosen
Indicates that an entity possesses or includes at least one ship that belongs to a specified ship class.
-
E.
laterShipType
Indicates that one ship type chronologically succeeds or is introduced after another ship type.
- 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_69f07cb8033c8190b8807e219a14333d |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69ff7fc835f08190afd1f8129b7a62a2 |
completed | May 9, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_69ff7f2e99ac8190ba372a1358a05a30 |
completed | May 9, 2026, 6:38 p.m. |
Created at: April 28, 2026, 12:01 p.m.