Triple
T33081976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhode Island Mall |
E846530
|
entity |
| Predicate | Filene’sConversion |
P119304
|
FINISHED |
| Object | converted to Macy’s before closure |
—
|
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: converted to Macy’s before closure | Statement: [Rhode Island Mall, Filene’sConversion, converted to Macy’s before closure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Filene’sConversion Context triple: [Rhode Island Mall, Filene’sConversion, converted to Macy’s before closure]
-
A.
Flowline
Indicates a directed path or channel along which something (such as fluid, energy, or information) moves or is transmitted from one point to another.
-
B.
ديانته
Indicates the religious affiliation or faith that a person adheres to.
-
C.
eraOfConversion
Indicates the specific historical period or era during which the conversion event or change took place.
-
D.
Mawtini
Indicates a relationship of national belonging or patriotic connection, often expressing devotion or attachment to one’s homeland.
-
E.
convertedIn
chosen
Indicates that one entity has been transformed, changed, or translated into another form, state, or representation within a specified context.
- 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_69f34954d46c8190a04a159cc5f99efd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:26 a.m.