Triple
T5680676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nasdaq-100 futures |
E125189
|
entity |
| Predicate | correlatedWith |
P37
|
FINISHED |
| Object | Nasdaq-100 constituent stocks |
—
|
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: Nasdaq-100 constituent stocks | Statement: [Nasdaq-100 futures, correlatedWith, Nasdaq-100 constituent stocks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correlatedWith Context triple: [Nasdaq-100 futures, correlatedWith, Nasdaq-100 constituent stocks]
-
A.
relatedTo
chosen
Indicates a general, non-specific relationship or association exists between two entities.
-
B.
hasCorrelativesSystem
Indicates that one entity possesses or employs a system of correlatives—structured, corresponding elements or forms that are systematically related to each other.
-
C.
associatedWithSee
Indicates a relationship where one entity is contextually or functionally linked to another through the act or concept of seeing or visual observation.
-
D.
relatedByFormula
Indicates that one entity is mathematically or logically derived from, or connected to, another according to a specific formula.
-
E.
relatesComplementTo
Indicates that one entity serves as a complement or completing counterpart to another entity within a specified context or 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021be59088190a81c880957f666ab |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:44 p.m.