Triple
T1144081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XAMS |
E23522
|
entity |
| Predicate | hasPostTradeTransparency |
P24412
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [XAMS, hasPostTradeTransparency, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPostTradeTransparency Context triple: [XAMS, hasPostTradeTransparency, yes]
-
A.
hasMarketCharterStatus
Indicates that an entity holds a specific official market charter status, such as being authorized, licensed, or otherwise formally recognized to operate in a designated market.
-
B.
hasElectronicTradingSystem
Indicates that an entity operates or utilizes an electronic system for executing trades or transactions.
-
C.
tradedOn
Indicates that an asset, security, or instrument is bought and sold on a particular exchange or trading venue.
-
D.
hasTrade
Indicates a relationship where one entity engages in or maintains a commercial exchange or trading activity with another entity.
-
E.
isWidelyTraded
Indicates that an asset or item is frequently bought and sold across many participants or markets, resulting in high trading activity and liquidity.
- F. None of above. chosen
Provenance (4 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc5008d8819095c1ffb5db5b4911 |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4d4104819084027a043c6118cb |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bbb9fb4c81909dd39c496893c21b |
completed | March 1, 2026, 10:20 p.m. |
Created at: March 1, 2026, 7:44 p.m.