Triple
T2033938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montgomery Ward |
E44578
|
entity |
| Predicate | businessStatus |
P5870
|
FINISHED |
| Object | defunct as brick-and-mortar chain |
—
|
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: defunct as brick-and-mortar chain | Statement: [Montgomery Ward, businessStatus, defunct as brick-and-mortar chain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: businessStatus Context triple: [Montgomery Ward, businessStatus, defunct as brick-and-mortar chain]
-
A.
commercialStatus
Indicates the current state or condition of something in terms of its commercial availability, activity, or market use.
-
B.
agencyStatus
Indicates the current operational or legal condition under which an agency or agent is functioning (e.g., active, inactive, suspended, or terminated).
-
C.
hasBusiness
Indicates that one entity owns, operates, or is formally associated with a business entity.
-
D.
operatingStatus
chosen
Indicates whether an entity is currently functioning, active, or in service versus inactive, closed, or out of service.
-
E.
franchiseStatus
Indicates the current standing or condition of a franchise relationship between parties, such as whether it is active, inactive, pending, or terminated.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb93387488190ac9d8d2746451f2e |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb7a8125881909c0cb58b777c1faa |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.