Triple
T24270099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P 500 Equal Weight Index |
E605252
|
entity |
| Predicate | hasUnderlyingUniverse |
P149151
|
FINISHED |
| Object | U.S. large-cap equities |
—
|
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: U.S. large-cap equities | Statement: [S&P 500 Equal Weight Index, hasUnderlyingUniverse, U.S. large-cap equities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnderlyingUniverse Context triple: [S&P 500 Equal Weight Index, hasUnderlyingUniverse, U.S. large-cap equities]
-
A.
underlyingUniverse
chosen
Indicates that one entity serves as the fundamental domain, space, or base structure within which the other entity is defined or operates.
-
B.
hasUnderlyingSet
Indicates that one mathematical structure is associated with, or based on, a specific underlying set of elements.
-
C.
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.
-
D.
hasUnderlyingEntity
Indicates that one entity serves as the fundamental or base entity upon which another entity is conceptually or structurally built.
-
E.
hasUnderlyingSector
Indicates that one entity is fundamentally based in, categorized within, or primarily associated with a particular economic or industry sector.
- 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_69e2954707dc8190915551eb114cfff6 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28d58666881909f28f4d4f0f7d590 |
completed | April 29, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:07 a.m.