Triple
T633951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SoftBank Vision Fund |
E15980
|
entity |
| Predicate | investsIn |
P17330
|
FINISHED |
| Object | Grab |
E30981
|
NE 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: Grab | Statement: [SoftBank Vision Fund, investsIn, Grab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grab Context triple: [SoftBank Vision Fund, investsIn, Grab]
-
A.
Grab
chosen
Grab is a Southeast Asian super-app company best known for its ride-hailing, food delivery, and digital payments services.
-
B.
GAB
GAB is the three-letter ISO 3166-1 alpha-3 country code assigned to Gabon.
-
C.
Hook
Hook is a village in Hampshire, England, known as a commuter settlement with good transport links to nearby towns and London.
-
D.
Kick
Kick was the affectionate nickname of Kathleen Kennedy Cavendish, the socially prominent and charismatic sister of U.S. President John F. Kennedy.
-
E.
GN
GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a515ceb081908c064b2082047c0f |
completed | March 1, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56ef052308190bfaed448c3737ef6 |
completed | March 2, 2026, 11:05 a.m. |
Created at: March 1, 2026, 7:35 p.m.