Triple
T11442672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonker Street |
E271182
|
entity |
| Predicate | nightMarketType |
P2821
|
FINISHED |
| Object | pedestrian street market |
—
|
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: pedestrian street market | Statement: [Jonker Street, nightMarketType, pedestrian street market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nightMarketType Context triple: [Jonker Street, nightMarketType, pedestrian street market]
-
A.
marketType
chosen
Indicates the classification or category of market in which an entity operates or a transaction occurs (e.g., retail, wholesale, online).
-
B.
nightlifePattern
Indicates a recurring way entities engage in or are associated with nightlife activities, such as typical behaviors, schedules, or participation patterns during night hours.
-
C.
nightlifeCharacter
Indicates a characteristic or quality associated with nightlife, such as the typical atmosphere, energy, or style of nighttime social activities.
-
D.
marketsIn
Indicates that one entity promotes, sells, or offers another entity’s products or services within a particular market or geographic area.
-
E.
marketHeldOn
Indicates that a market event takes place at a specific time and/or location.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d808891b7481908bf5a80cb7644061 |
completed | April 9, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69d7e7162b288190a0bfb89f7eb747c7 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:35 p.m.