Triple
T1306086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Market Street retail area |
E27880
|
entity |
| Predicate | hasTradingPattern |
P2916
|
FINISHED |
| Object | seven-day trading |
—
|
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: seven-day trading | Statement: [Market Street retail area, hasTradingPattern, seven-day trading]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTradingPattern Context triple: [Market Street retail area, hasTradingPattern, seven-day trading]
-
A.
hasTradingModel
Indicates that one entity uses, is governed by, or is associated with a particular trading model.
-
B.
hasTrade
Indicates a relationship where one entity engages in or maintains a commercial exchange or trading activity with another entity.
-
C.
hasTradingDays
chosen
Indicates that an entity is associated with specific days on which trading or commercial transactions are conducted.
-
D.
hasTradingHours
Indicates that an entity operates or is available for trading during specified time periods.
-
E.
hasTrend
Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c15490a88190872c3d2698a8f9c9 |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4bee9e4a88190b22ab2ee831a23c9 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.