Triple
T5747563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Edmonton Mall |
E126769
|
entity |
| Predicate | formerRecord |
P66509
|
FINISHED |
| Object | world’s largest shopping mall |
—
|
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: world’s largest shopping mall | Statement: [West Edmonton Mall, formerRecord, world’s largest shopping mall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerRecord Context triple: [West Edmonton Mall, formerRecord, world’s largest shopping mall]
-
A.
formerField
Indicates that an entity previously had a particular field, role, or area of activity, but no longer does.
-
B.
formerState
Indicates that an entity previously held the status or condition of a particular state but no longer does so.
-
C.
formerRepresentation
Indicates that one entity previously served as the representative (e.g., legal, political, or organizational) of another entity, but no longer holds that role.
-
D.
formerName
Indicates that an entity was previously known by a different name in the past.
-
E.
formerGround
Indicates that an entity previously served as the ground or base for another entity but no longer holds that role.
- 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_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. |
| PDg | Predicate description generation | batch_69c02b4ea03c81908c3d799462de20c4 |
completed | March 22, 2026, 5:47 p.m. |
Created at: March 22, 2026, 3:48 p.m.