Triple
T3716904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FTSE MIB |
E81552
|
entity |
| Predicate | primaryBenchmarkFor |
P23745
|
FINISHED |
| Object | Italian equity market |
—
|
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: Italian equity market | Statement: [FTSE MIB, primaryBenchmarkFor, Italian equity market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryBenchmarkFor Context triple: [FTSE MIB, primaryBenchmarkFor, Italian equity market]
-
A.
primaryBenchmarkProvider
Indicates that one entity serves as the main or default source of benchmark data or performance standards for another entity.
-
B.
primaryCriterion
Indicates that one factor is designated as the main or most important basis for a decision, judgment, or selection among alternatives.
-
C.
primaryMetric
Indicates the main quantitative measure used to evaluate the performance, success, or impact of an entity or process relative to its goals.
-
D.
primaryReference
Indicates that one entity serves as the main or authoritative source of information or citation for another entity.
-
E.
benchmarkFor
chosen
Indicates that one entity serves as a standard or reference point against which the performance, quality, or characteristics of another entity are measured or evaluated.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9d087c881909f6d2ec6e518fb02 |
completed | March 8, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69adc0436e508190909ec4a3e8443aef |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:33 p.m.