Triple
T26136428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grab Holdings Inc. |
E659394
|
entity |
| Predicate | offersBrand |
P10882
|
FINISHED |
| Object | GrabFood |
—
|
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: GrabFood | Statement: [Grab Holdings Inc., offersBrand, GrabFood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersBrand Context triple: [Grab Holdings Inc., offersBrand, GrabFood]
-
A.
offersMass
Indicates that one entity provides or makes available a certain mass or quantity of material or substance to another entity.
-
B.
offersServiceIn
Indicates that a provider makes a particular service available within a specified location or jurisdiction.
-
C.
offersProduct
chosen
Indicates that one entity makes a product available to another entity, typically for sale or use.
-
D.
offersFeature
Indicates that one entity provides or makes available a particular feature or capability to another entity.
-
E.
offersObject
Indicates that a subject provides or makes available a specific object to another party as an offer.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 26, 2026, 8:17 p.m.