Triple
T5747564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Edmonton Mall |
E126769
|
entity |
| Predicate | formerRecordHeldFrom |
P8586
|
FINISHED |
| Object | 1981 |
—
|
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: 1981 | Statement: [West Edmonton Mall, formerRecordHeldFrom, 1981]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerRecordHeldFrom Context triple: [West Edmonton Mall, formerRecordHeldFrom, 1981]
-
A.
officePreviouslyHeldBy
Indicates that a particular office or position was formerly occupied by a specified person or entity.
-
B.
recordHeldFrom
chosen
Indicates that a record or position was held by an entity starting from a specified point in time.
-
C.
heldTitleFrom
Indicates that an entity possessed or held a particular title starting from a specified point in time.
-
D.
officeHolderBecame
Indicates that an individual assumed or transitioned into holding a particular office or official position.
-
E.
precededByOfficeHolder
Indicates that one office holder directly held a position before another office holder in a sequence of occupants of the same office.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b52663c8190ab44258468d4296d |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021ca61688190875bd6107161c284 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:48 p.m.