Triple
T28927743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STOXX Europe 600 |
E733695
|
entity |
| Predicate | hasSectorClassificationStandard |
P195580
|
FINISHED |
| Object | Industry Classification Benchmark |
—
|
NE NERFINISHED |
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: Industry Classification Benchmark | Statement: [STOXX Europe 600, hasSectorClassificationStandard, Industry Classification Benchmark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSectorClassificationStandard Context triple: [STOXX Europe 600, hasSectorClassificationStandard, Industry Classification Benchmark]
-
A.
sectoralClassification
Indicates how an entity is categorized into a specific economic or industry sector within a classification scheme.
-
B.
hasGICSsector
Indicates that an entity is classified as belonging to a particular Global Industry Classification Standard (GICS) sector.
-
C.
isSectorSpecific
Indicates that something is tailored or restricted to a particular industry or sector rather than being generally applicable.
-
D.
sectorCode
Indicates the classification code that identifies the economic or organizational sector associated with an entity or activity.
-
E.
hasMarketSector
Indicates that an entity operates within, is associated with, or belongs to a particular market sector or industry segment.
- 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_69f05b0b49b08190b8994b339c7980f6 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69fddac42c4081908568649058e86458 |
completed | May 8, 2026, 12:44 p.m. |
Created at: April 28, 2026, 8:25 a.m.