Triple
T2706900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foxconn |
E59361
|
entity |
| Predicate | hasInitiative |
P42466
|
FINISHED |
| Object | expansion of manufacturing in India |
—
|
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: expansion of manufacturing in India | Statement: [Foxconn, hasInitiative, expansion of manufacturing in India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInitiative Context triple: [Foxconn, hasInitiative, expansion of manufacturing in India]
-
A.
canActOnOwnInitiative
Indicates that an entity is capable of initiating actions independently, without requiring external prompts or directives.
-
B.
hasAct
Indicates that an entity performs, participates in, or is associated with a specific act or action.
-
C.
hasChallenge
Indicates that an entity faces, experiences, or is confronted with a particular difficulty, obstacle, or problem.
-
D.
hasLeader
Indicates that one entity serves as the leader or head of another entity.
-
E.
hasInitial
Indicates that one entity possesses or is associated with the first letter or starting character of another entity’s name or value.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda725f24819090e8d936b3d2d5bc |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd8224c688190bb4a362360b03007 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8abcc348190bfa05c0abc4bcee7 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:55 p.m.