Triple
T31621430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B. Altman and Company Building |
E806904
|
entity |
| Predicate | closedAsDepartmentStore |
P121990
|
FINISHED |
| Object | 1989 |
—
|
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: 1989 | Statement: [B. Altman and Company Building, closedAsDepartmentStore, 1989]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closedAsDepartmentStore Context triple: [B. Altman and Company Building, closedAsDepartmentStore, 1989]
-
A.
closedAsStore
chosen
Indicates that an entity has ceased operations specifically in its role or function as a store.
-
B.
openedAsDepartmentStore
Indicates that an entity began operation specifically in the capacity or role of a department store.
-
C.
closedAsBrand
Indicates that an entity has been shut down or discontinued specifically as part of a brand-related decision or reorganization.
-
D.
remainingStoresClosedBy
Indicates that certain stores stayed closed as a result of an action or decision taken by the referenced entity.
-
E.
closedFor
Indicates that an entity is not available or accessible for use, entry, or operation during a specified time, condition, or reason.
- 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_69f348d7883c8190b6c13ab92b7ef076 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: April 30, 2026, 10:41 p.m.