Triple
T1272055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costanera Center |
E15730
|
entity |
| Predicate | hasRetailFloors |
P1728
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Costanera Center, hasRetailFloors, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRetailFloors Context triple: [Costanera Center, hasRetailFloors, 6]
-
A.
hasRetailArea
Indicates that an entity possesses or includes a designated space used for retail or commercial sales activities.
-
B.
hasRetailBoutiquesIn
Indicates that an entity operates or maintains retail boutiques located within a specified place or region.
-
C.
numberOfFloors
chosen
Indicates the total count of distinct floor levels that a building or structure has.
-
D.
hasFloor
Indicates that one entity possesses, includes, or is associated with a particular floor or level within a structure.
-
E.
numberOfStores
Indicates the total count of stores associated with a given entity or 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06c033081909bc594157abaf5bb |
completed | March 1, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69a4bede52a081909665d60acbe41d31 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.