Triple
T3052472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parap |
E60401
|
entity |
| Predicate | hasMarketDay |
P2916
|
FINISHED |
| Object | Saturday |
—
|
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: Saturday | Statement: [Parap, hasMarketDay, Saturday]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarketDay Context triple: [Parap, hasMarketDay, Saturday]
-
A.
hasDailyMarket
Indicates that an entity regularly hosts or participates in a market that operates on a daily basis.
-
B.
hasMarket
Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
-
C.
hasMarketStatus
Indicates the current commercial or trading condition of an entity, such as whether it is active, suspended, listed, or delisted in a market.
-
D.
hasMarketData
Indicates that an entity possesses or is associated with relevant market-related information or statistics.
-
E.
hasTradingDays
chosen
Indicates that an entity is associated with specific days on which trading or commercial transactions are conducted.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf3c52c8190bbe8e5cb98c21715 |
completed | March 8, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69ad962195388190856013a2519c2b0f |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.