Triple
T38090440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casablanca-class escort carrier |
E951097
|
entity |
| Predicate | flightDeckLength |
P190004
|
FINISHED |
| Object | about 477 feet |
—
|
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: about 477 feet | Statement: [Casablanca-class escort carrier, flightDeckLength, about 477 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flightDeckLength Context triple: [Casablanca-class escort carrier, flightDeckLength, about 477 feet]
-
A.
flightDeckWidth
Indicates the measurement of how wide a vehicle’s flight deck is across its lateral (side-to-side) dimension.
-
B.
fuselageLength_m
Indicates the measured length of an aircraft’s fuselage, expressed in meters.
-
C.
aircraftLength
Indicates the physical longitudinal measurement of an aircraft from its nose to its tail.
-
D.
fuselageLengthComparedTo
Indicates how the length of one fuselage compares to the length of another fuselage, typically in terms of being longer, shorter, or equal.
-
E.
flightDeckType
Indicates the specific configuration or design type of a vehicle’s flight deck (cockpit/control area).
- 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_69f76f03a3608190a73fd6df87c792a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fc4747b06c8190a3ea5331f02eedad |
completed | May 7, 2026, 8:03 a.m. |
Created at: May 3, 2026, 4:21 p.m.