Triple
T24925434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Batfish (SS-310) |
E618840
|
entity |
| Predicate | countryOfPreservation |
P48553
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [USS Batfish (SS-310), countryOfPreservation, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfPreservation Context triple: [USS Batfish (SS-310), countryOfPreservation, United States]
-
A.
countryOfProtectedArea
Indicates that a protected natural area is located within and legally belongs to a specific country.
-
B.
hasCountryOfCollection
Indicates the country in which an item, specimen, or object was collected.
-
C.
preservedAt
Indicates that something is kept, maintained, or conserved in a particular place or context.
-
D.
regionOfPreservation
Indicates the specific area or portion of an object or specimen where preservation has occurred or is observed.
-
E.
housedInCountry
chosen
Indicates that an entity is located, based, or situated within the boundaries of a specified country.
- 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 5:29 a.m.