Triple
T5795995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SP100 |
E128509
|
entity |
| Predicate | underlyingConstituentsType |
P66572
|
FINISHED |
| Object | blue-chip U.S. companies |
—
|
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: blue-chip U.S. companies | Statement: [SP100, underlyingConstituentsType, blue-chip U.S. companies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underlyingConstituentsType Context triple: [SP100, underlyingConstituentsType, blue-chip U.S. companies]
-
A.
underlyingAsset
Indicates that one asset serves as the fundamental reference or basis for the value, performance, or contractual terms of another financial instrument or derivative.
-
B.
underlyingInstrument
Indicates that one financial instrument serves as the reference or basis for the value, payoff, or structure of another financial instrument.
-
C.
hasUnderlyingLEI
Indicates that an entity is associated with, or identified by, a specific underlying Legal Entity Identifier (LEI).
-
D.
typeOfSecurityTraded
Indicates the specific kind or category of security that is being traded in a financial transaction.
-
E.
partOfMarketInfrastructureType
Indicates that one entity functions as a specific type or component within a broader market infrastructure system.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1304588190b59a18fb7b70a60f |
completed | March 22, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69c021d477008190946113f9859eeb90 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c02b10def8819080859bc6505405ed |
completed | March 22, 2026, 5:46 p.m. |
Created at: March 22, 2026, 3:51 p.m.