Triple
T595573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E-mini S&P 500 futures |
E17373
|
entity |
| Predicate | hedges |
P15872
|
FINISHED |
| Object | US large-cap equity exposure |
—
|
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: US large-cap equity exposure | Statement: [E-mini S&P 500 futures, hedges, US large-cap equity exposure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hedges Context triple: [E-mini S&P 500 futures, hedges, US large-cap equity exposure]
-
A.
defends
Indicates that one entity protects or supports another entity against attack, criticism, or harm.
-
B.
hasWattles
Indicates that an entity possesses wattles, which are fleshy, often hanging skin structures typically found on the head or neck.
-
C.
involvesPlant
Indicates that the relationship or action includes or pertains to a plant as a participating entity.
-
D.
hardiness
Indicates the degree to which an entity can withstand or endure harsh, adverse, or challenging conditions.
-
E.
lays
Indicates that one entity deposits or places something, typically eggs or objects, onto a surface or in a location.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bd280ac8190b6a530ce73da85c8 |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494ceeb7881909a91ed1a35d5bf0a |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985b7d7481909b5d30f4001ed61c |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:33 p.m.