Triple
T1381195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P Composite 1500 |
E29340
|
entity |
| Predicate | coverageOfUSMarketCapitalization |
P17018
|
FINISHED |
| Object | approximately 90% |
—
|
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 90% | Statement: [S&P Composite 1500, coverageOfUSMarketCapitalization, approximately 90%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverageOfUSMarketCapitalization Context triple: [S&P Composite 1500, coverageOfUSMarketCapitalization, approximately 90%]
-
A.
marketShareUS
chosen
Indicates the proportion of a product, company, or brand’s total sales or volume within the United States market relative to the overall U.S. market size.
-
B.
isLargeCap
Indicates that an entity (typically a company or stock) belongs to the large-capitalization category based on its market value.
-
C.
peakMarketShare
Indicates the highest proportion of total market sales or customers that an entity has achieved over a specified period.
-
D.
isFinancialCapitalOf
Indicates that a city or region serves as the primary center for a country’s or area’s financial, banking, and economic market activities.
-
E.
hasMajorMarket
Indicates that an entity has a primary or most significant market in a specified location or segment.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c31b176c8190a896183140c5c8be |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4befe343c81909f758440a531b5be |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.