Triple
T11592635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Ticonderoga |
E274920
|
entity |
| Predicate | hasCatapultType |
P37363
|
FINISHED |
| Object | hydraulic catapults (as built) |
—
|
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: hydraulic catapults (as built) | Statement: [USS Ticonderoga, hasCatapultType, hydraulic catapults (as built)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatapultType Context triple: [USS Ticonderoga, hasCatapultType, hydraulic catapults (as built)]
-
A.
catapultType
chosen
Indicates the specific kind or category of catapult associated with an entity or event.
-
B.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
C.
numberOfCatapults
Indicates the quantity of catapults associated with a given entity or context.
-
D.
hasLanternType
Indicates that an entity is associated with or characterized by a specific type or category of lantern.
-
E.
hasHullType
Indicates that an entity possesses or is characterized by a specific type or form of hull.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8946594348190935106132fd18028 |
completed | April 10, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dd20d188190863d1190d4c16048 |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.