Triple
T1411602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dow Jones U.S. Auto Manufacturers Index |
E31816
|
entity |
| Predicate | tracksIndustry |
P17929
|
FINISHED |
| Object | automobile manufacturing industry |
—
|
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: automobile manufacturing industry | Statement: [Dow Jones U.S. Auto Manufacturers Index, tracksIndustry, automobile manufacturing industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tracksIndustry Context triple: [Dow Jones U.S. Auto Manufacturers Index, tracksIndustry, automobile manufacturing industry]
-
A.
tracks
Indicates that one entity monitors, follows, or keeps a record of another entity’s state, behavior, or progress over time.
-
B.
tracksIndex
Indicates that one entity maintains or records the position, order, or index of another entity within a sequence or collection.
-
C.
track
chosen
Indicates that one entity follows, monitors, or keeps a record of another entity’s state, behavior, or progress over time.
-
D.
notableIndustry
Indicates that an entity is significantly recognized or prominent within a specified industry or sector.
-
E.
hasGenreInfluenceOn
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e1da988190bc7c187e193539b6 |
completed | March 1, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69a4bf048b648190ab77d9b45cb4855f |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.