Triple
T15877586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Street (San Francisco) |
E384988
|
entity |
| Predicate | isShoppingDistrict |
P120873
|
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: [Union Street (San Francisco), isShoppingDistrict, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isShoppingDistrict Context triple: [Union Street (San Francisco), isShoppingDistrict, true]
-
A.
hasShoppingDistrict
Indicates that a place contains or is associated with a designated area where multiple shops and commercial retail activities are concentrated.
-
B.
hasShoppingDistrictName
Indicates that an entity’s shopping district is identified by a specific name.
-
C.
hasShoppingDistrictType
Indicates that an entity is associated with a particular type or category of shopping district.
-
D.
isShoppingStreet
Indicates that a location functions primarily as a street characterized by a concentration of shops and commercial retail activity.
-
E.
isShoppingDestination
Indicates that a place serves as a primary location where people go to shop for goods or services.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142c3e18c8190bb7b023f4a0eaebb |
completed | April 16, 2026, 8:12 p.m. |
| PDg | Predicate description generation | batch_69e174da2c2c819099ec46616798245a |
completed | April 16, 2026, 11:46 p.m. |
Created at: April 10, 2026, 4:51 a.m.