Triple
T12065889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Lawrence |
E287293
|
entity |
| Predicate | yearRaised |
P103020
|
FINISHED |
| Object | 1875 |
—
|
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: 1875 | Statement: [USS Lawrence, yearRaised, 1875]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearRaised Context triple: [USS Lawrence, yearRaised, 1875]
-
A.
yearTaken
Indicates the specific calendar year in which an action, event, or record associated with the subject was carried out or occurred.
-
B.
typicallyIssuedAtAge
Indicates the age at which something is most commonly or customarily issued to an individual.
-
C.
ordinationYear
Indicates the year in which an individual was formally ordained to a religious office or role.
-
D.
enlistmentYear
Indicates the year in which an entity formally joined or was enrolled into a service, organization, or group.
-
E.
ageAtIntroduction
Indicates the age an entity had at the time it was first introduced or presented in a given context.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:48 p.m.