Triple
T723697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XNYS |
E14673
|
entity |
| Predicate | primaryAssetClass |
P15055
|
FINISHED |
| Object | equities |
—
|
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: equities | Statement: [XNYS, primaryAssetClass, equities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryAssetClass Context triple: [XNYS, primaryAssetClass, equities]
-
A.
primaryAsset
Indicates that one entity is the main or most important asset associated with another entity.
-
B.
investmentType
Indicates the specific category or nature of an investment associated with an entity or transaction.
-
C.
assetType
chosen
Indicates the specific category or classification of an asset within a broader asset framework or system.
-
D.
tradeInstrument
Indicates a relationship where one entity is used as a financial or commercial instrument in a trade or transaction involving another entity.
-
E.
investsIn
Indicates that one entity allocates resources, typically money or capital, into another entity with the expectation of future returns or benefits.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5a5360c8190b16e1e4f4206d0aa |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f700cc81908c6de3eedf68433c |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.