Triple
T24405344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FCW |
E615295
|
entity |
| Predicate | closedAsBrand |
P156070
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [FCW, closedAsBrand, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closedAsBrand Context triple: [FCW, closedAsBrand, 2012]
-
A.
closedAs
Indicates that one entity has been brought to an end, resolved, or made no longer active as a result of another entity or action.
-
B.
closedBy
Indicates that one entity performs the action of closing, finishing, or terminating another entity (such as a task, issue, or process).
-
C.
closedAsStore
Indicates that an entity has ceased operations specifically in its role or function as a store.
-
D.
closedFor
Indicates that an entity is not available or accessible for use, entry, or operation during a specified time, condition, or reason.
-
E.
closedUnder
Indicates that applying a specified operation to elements within a set always produces a result that is also an element of that same set.
- 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_69e2d7e780bc81908049c779e697a7f6 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294de76848190bd2cf3c7add2dcf1 |
completed | April 29, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:05 a.m.