Triple
T22503347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CAP |
E556329
|
entity |
| Predicate | hasUnderlyingSubsector |
P105701
|
FINISHED |
| Object | IT consulting and services |
—
|
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: IT consulting and services | Statement: [CAP, hasUnderlyingSubsector, IT consulting and services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnderlyingSubsector Context triple: [CAP, hasUnderlyingSubsector, IT consulting and services]
-
A.
belongsToSubsector
chosen
Indicates that one entity is part of, or classified within, a more specific subsector of a broader sector or industry.
-
B.
hasUnderlyingMarket
Indicates that one entity is based on, derives its value from, or is traded with reference to another entity that serves as its fundamental market.
-
C.
hasUnderlyingLEI
Indicates that an entity is associated with, or identified by, a specific underlying Legal Entity Identifier (LEI).
-
D.
hasUnderlyingIssuer
Indicates that one entity serves as the fundamental or primary issuer behind another entity, such as a financial instrument or structured product.
-
E.
hasSubFund
Indicates that an entity (typically a fund) includes or controls another fund as a subordinate or component fund within its structure.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5a01888190ba65a05616b63cbe |
completed | April 29, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69e898be31448190be5ae7f5656f0497 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:50 p.m.