Triple
T4939302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Design District (Dallas) |
E110887
|
entity |
| Predicate | hasDesignShowroomsCluster |
P37662
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Design District (Dallas), hasDesignShowroomsCluster, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDesignShowroomsCluster Context triple: [Design District (Dallas), hasDesignShowroomsCluster, true]
-
A.
hasExhibitionArea
Indicates that an entity includes or provides a designated space or area for exhibitions or displays.
-
B.
showsFurniture
Indicates that one entity visually presents or displays furniture items to another entity or audience.
-
C.
hasShopsOn
chosen
Indicates that one entity (typically a street, area, or building) contains or is lined with shops located on or along it.
-
D.
hasRetailBoutiquesIn
Indicates that an entity operates or maintains retail boutiques located within a specified place or region.
-
E.
designedIn
Indicates that something was created, planned, or conceived during a particular time period or at a specific 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7088f6e48190bf09e58ab053a4d1 |
completed | March 20, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69bd6c389b9881908ad7fb1c5393c1b1 |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.