Triple
T24270480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P 500 Information Technology Index |
E605262
|
entity |
| Predicate | hasDataVendorTicker |
P56403
|
FINISHED |
| Object | varies by data provider |
—
|
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: varies by data provider | Statement: [S&P 500 Information Technology Index, hasDataVendorTicker, varies by data provider]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDataVendorTicker Context triple: [S&P 500 Information Technology Index, hasDataVendorTicker, varies by data provider]
-
A.
hasDataVendorCode
Indicates that an entity is associated with a specific vendor-assigned code used to identify its data source or provider.
-
B.
hasBrandOwnerTicker
Indicates that an entity is associated with the stock ticker symbol of the company that owns its brand.
-
C.
hasTickerCountryCode
Indicates that a financial instrument’s ticker symbol is associated with a specific country code.
-
D.
dataVendorSymbol
chosen
Indicates a mapping between a data vendor and the specific symbol or code they use to identify an asset or item.
-
E.
hasExchangeTicker
Indicates that an entity is identified or listed under a specific ticker symbol on a particular financial exchange.
- 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_69e2954707dc8190915551eb114cfff6 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28d59e0808190a1048e4e2e5689f3 |
completed | April 29, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:07 a.m.