Triple
T1336760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nasdaq Composite Index |
E28768
|
entity |
| Predicate | hasNumberOfConstituents |
P5741
|
FINISHED |
| Object | over 2500 |
—
|
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: over 2500 | Statement: [Nasdaq Composite Index, hasNumberOfConstituents, over 2500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfConstituents Context triple: [Nasdaq Composite Index, hasNumberOfConstituents, over 2500]
-
A.
numberOfConstituents
chosen
Indicates the total count of individual components or members that make up a larger whole or group.
-
B.
hasNumberOfConstituencies
Indicates the specific count of constituencies associated with an entity.
-
C.
constitutedBy
Indicates that something is made up of, composed from, or formed by the specified parts or elements.
-
D.
previousNumberOfConstituents
Indicates the number of constituents an entity had at an earlier point in time, before its current state.
-
E.
hasComponentCount
Indicates that an entity is associated with a specific number of components it contains or comprises.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1edda1c81909a1149b254b0d57e |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef174708190a07bbc697fe19a2d |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.