Triple
T2482020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polanco luxury shopping district |
E55838
|
entity |
| Predicate | hasTypeOfStore |
P23299
|
FINISHED |
| Object | designer fashion boutiques |
—
|
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: designer fashion boutiques | Statement: [Polanco luxury shopping district, hasTypeOfStore, designer fashion boutiques]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfStore Context triple: [Polanco luxury shopping district, hasTypeOfStore, designer fashion boutiques]
-
A.
hasTeamStore
Indicates that an entity operates, is associated with, or provides access to a specific team-related retail store.
-
B.
hasShop
chosen
Indicates that one entity owns, operates, or is associated with a shop or retail establishment.
-
C.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
D.
hasTypeOfVendor
Indicates that an entity is associated with or classified under a specific category or type of vendor.
-
E.
hasRetailPresenceIn
Indicates that an entity conducts retail operations or maintains a retail outlet, store, or sales presence within a specified location.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd20b6d008190acec0eb172e218c9 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b7cf088190bcff4dac6150044c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:45 p.m.