Triple
T1427804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P 500 ETFs |
E30371
|
entity |
| Predicate | benchmarkConstituentCount |
P5741
|
FINISHED |
| Object | approximately 500 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: approximately 500 stocks | Statement: [S&P 500 ETFs, benchmarkConstituentCount, approximately 500 stocks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: benchmarkConstituentCount Context triple: [S&P 500 ETFs, benchmarkConstituentCount, approximately 500 stocks]
-
A.
numberOfConstituents
chosen
Indicates the total count of individual components or members that make up a larger whole or group.
-
B.
previousNumberOfConstituents
Indicates the number of constituents an entity had at an earlier point in time, before its current state.
-
C.
constitutedBy
Indicates that something is made up of, composed from, or formed by the specified parts or elements.
-
D.
hasNumberOfConstituencies
Indicates the specific count of constituencies associated with an entity.
-
E.
branchCount
Indicates the number of branches associated with a given entity 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_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.