Triple
T27132329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FaSinPat |
E681591
|
entity |
| Predicate | takeoverByWorkers |
P3807
|
FINISHED |
| Object | early 2000s |
—
|
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: early 2000s | Statement: [FaSinPat, takeoverByWorkers, early 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: takeoverByWorkers Context triple: [FaSinPat, takeoverByWorkers, early 2000s]
-
A.
takesOver
Indicates that one entity assumes control, ownership, or responsibility for another entity, often replacing its previous controller.
-
B.
tookOverCompanyFrom
Indicates that one entity assumed control or ownership of a company previously controlled or owned by another entity.
-
C.
involvesWorkers
chosen
Indicates that an event, process, or situation includes workers as active participants or affected parties.
-
D.
tookOverCompetenceFrom
Indicates that one entity assumed responsibility, authority, or functional control previously held by another entity.
-
E.
takenBy
Indicates that something is captured, acquired, or received by a particular entity.
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6247832a48190b820e8c0c22ff5db |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 9:05 a.m.