Triple
T1173524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Asian Tigers |
E24965
|
entity |
| Predicate | sectorStrength |
P26220
|
FINISHED |
| Object | electronics manufacturing |
—
|
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: electronics manufacturing | Statement: [Four Asian Tigers, sectorStrength, electronics manufacturing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectorStrength Context triple: [Four Asian Tigers, sectorStrength, electronics manufacturing]
-
A.
sectorInfluence
Indicates the degree to which one sector affects, shapes, or exerts control over another sector or over outcomes within that sector.
-
B.
sectorWeighting
Indicates the proportion or emphasis assigned to a particular sector within a broader portfolio, index, or classification.
-
C.
sector
Indicates that an entity operates in, belongs to, or is associated with a particular economic or industrial sector.
-
D.
sectorServed
Indicates the industry or economic sector that an entity primarily serves or targets with its activities, products, or services.
-
E.
sectorNeutral
Indicates that the relationship or action is independent of, or unaffected by, the specific sector or industry of the entities involved.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd53e4b48190abb2167f8074a6bc |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5844348190b01ac6506906ba3b |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bd52177081908c5cec8e731b836e |
completed | March 1, 2026, 10:27 p.m. |
Created at: March 1, 2026, 7:45 p.m.