Triple
T1482179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grab |
E30981
|
entity |
| Predicate | wentPublicVia |
P5680
|
FINISHED |
| Object | SPAC merger |
—
|
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: SPAC merger | Statement: [Grab, wentPublicVia, SPAC merger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wentPublicVia Context triple: [Grab, wentPublicVia, SPAC merger]
-
A.
wentTo
Indicates that one entity traveled or moved from its original location to another specified place.
-
B.
openedRouteThrough
Indicates that one entity has created or established a passage, connection, or pathway that allows movement or access through another entity or area.
-
C.
goesTo
Indicates that one entity moves or travels from its current location to another specified location or entity.
-
D.
via
chosen
Indicates that something occurs, is achieved, or is connected by means of, through the use of, or along the route of another entity or medium.
-
E.
wentViralOn
Indicates that content rapidly spread and gained widespread attention or popularity on a particular platform or medium.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c6782f088190930d25a56161e2b3 |
completed | March 1, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69a4c484e52c81908948ff8c0a42751b |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:11 p.m.