Triple
T27450133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheat River |
E692409
|
entity |
| Predicate | popularTakeOut |
P175315
|
FINISHED |
| Object | Jenkinsburg Bridge area |
—
|
NE NERFINISHED |
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: Jenkinsburg Bridge area | Statement: [Cheat River, popularTakeOut, Jenkinsburg Bridge area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularTakeOut Context triple: [Cheat River, popularTakeOut, Jenkinsburg Bridge area]
-
A.
offersTakeout
Indicates that a provider makes its products or services available for customers to pick up and consume off-site.
-
B.
takesAway
Indicates that one entity removes, deprives, or causes another entity to lose something it previously had.
-
C.
foodService
Indicates that one entity provides, manages, or is responsible for supplying food or meal-related services to another entity.
-
D.
alsoEats
Indicates that an entity consumes something in addition to another item or items it already eats.
-
E.
storesFood
Indicates that one entity keeps or holds food items for future use or consumption.
- 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_69ef5206c9248190b5975c2a7f9d229c |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f6d1d916f881909575c2b22c416a5b |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: April 27, 2026, 12:47 p.m.