Triple
T23726679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harris Ranch |
E586294
|
entity |
| Predicate | hasOnsiteButcherShop |
P125325
|
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: [Harris Ranch, hasOnsiteButcherShop, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnsiteButcherShop Context triple: [Harris Ranch, hasOnsiteButcherShop, true]
-
A.
hasShopsOn
Indicates that one entity (typically a street, area, or building) contains or is lined with shops located on or along it.
-
B.
hasAbattoir
Indicates that one entity possesses, contains, or is the site of an abattoir (slaughterhouse) used for animal slaughter or meat processing.
-
C.
isServedAt
Indicates that something (such as food, drink, or a service) is provided or made available at a particular place or venue.
-
D.
hasOnlineShop
Indicates that an entity operates or is associated with a shop that sells goods or services via the internet.
-
E.
hasOnsiteFeature
chosen
Indicates that one entity possesses or includes a particular feature that is physically present at its location or premises.
- 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_69e24906fb108190a6898751e46bdc11 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b915a888819088e92f99711e8120 |
completed | April 29, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:08 p.m.