Triple
T2746652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fishermen’s and Tanners’ Quarter |
E60884
|
entity |
| Predicate | hasPrimaryFunctionToday |
P34775
|
FINISHED |
| Object | tourist promenade |
—
|
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: tourist promenade | Statement: [Fishermen’s and Tanners’ Quarter, hasPrimaryFunctionToday, tourist promenade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryFunctionToday Context triple: [Fishermen’s and Tanners’ Quarter, hasPrimaryFunctionToday, tourist promenade]
-
A.
hasPrimaryFunction
Indicates that one entity serves as the main or principal function or role of another entity.
-
B.
functionToday
chosen
Indicates that a function or role is being performed or is in effect on the current day.
-
C.
hasDailyService
Indicates that a service or operation occurs every day on a regular, scheduled basis.
-
D.
hasPrimaryMeeting
Indicates that an entity is associated with its main or most important meeting, distinguishing it from other meetings it may have.
-
E.
hasPrimaryGoal
Indicates that an entity’s main or most important objective is the specified goal.
- 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb4ed6bc8190876c1d188b97692b |
completed | March 7, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69abd829f1e88190aab1d54f87c69714 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.