Triple
T1427792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P 500 ETFs |
E30371
|
entity |
| Predicate | liquidityProfile |
P25265
|
FINISHED |
| Object | highly liquid in major markets |
—
|
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: highly liquid in major markets | Statement: [S&P 500 ETFs, liquidityProfile, highly liquid in major markets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liquidityProfile Context triple: [S&P 500 ETFs, liquidityProfile, highly liquid in major markets]
-
A.
hasLiquidityCharacteristic
chosen
Indicates that one entity possesses or is associated with a particular liquidity-related property or feature in relation to another entity.
-
B.
portfolioHeldBy
Indicates that a particular portfolio is owned, managed, or maintained by a specified entity.
-
C.
marketPosition
Indicates the relative standing or rank an entity holds within a specific market compared to its competitors.
-
D.
rankByReserveHoldings
Indicates an ordering of entities based on the size or value of their reserve holdings, typically from highest to lowest.
-
E.
riskProfile
Indicates the level and characteristics of potential risk associated with an entity, action, or situation.
- 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c52e4ed881908d85e0cb9fe851ac |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c4752abc8190a33b634c4d6fad28 |
completed | March 1, 2026, 10:57 p.m. |
Created at: March 1, 2026, 8 p.m.