Triple
T5487375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seal of West Virginia |
E123615
|
entity |
| Predicate | dateSignifies |
P9461
|
FINISHED |
| Object | year West Virginia became a state |
—
|
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: year West Virginia became a state | Statement: [Seal of West Virginia, dateSignifies, year West Virginia became a state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateSignifies Context triple: [Seal of West Virginia, dateSignifies, year West Virginia became a state]
-
A.
dateSignificance
chosen
Indicates the specific importance, meaning, or notable role that a particular date holds within a given context or relationship.
-
B.
dateSigned
Indicates the specific date on which an agreement, document, or contract was formally signed.
-
C.
dateOf
Indicates that one entity specifies the calendar date associated with another entity, such as when it occurred, was created, or is scheduled.
-
D.
dateDetermination
Indicates the process or criteria by which a specific date is identified, calculated, or assigned in relation to an event or condition.
-
E.
date
Indicates that two entities are engaged in or participate in a romantic or social outing or relationship with each other.
- 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_69bd464a2d908190869324ce176779c8 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd93e5d0f08190a6cc9fc408b7c5bb |
completed | March 20, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69bd91a73b148190a865243536a4fe76 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:10 p.m.