Triple
T18511620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Societies |
E452354
|
entity |
| Predicate | meetingPlaces |
P15078
|
FINISHED |
| Object | rural areas of the Scottish Lowlands |
—
|
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: rural areas of the Scottish Lowlands | Statement: [United Societies, meetingPlaces, rural areas of the Scottish Lowlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meetingPlaces Context triple: [United Societies, meetingPlaces, rural areas of the Scottish Lowlands]
-
A.
meetingPlaceOf
Indicates the location where a particular meeting or gathering takes place or is held for the referenced entities.
-
B.
meetsVia
Indicates that two entities come into contact or interact with each other through a specified intermediary medium, channel, or mechanism.
-
C.
meetingPlaceTerritory
chosen
Indicates the territory or geographic area where a meeting or gathering takes place.
-
D.
traditionalMeetingPlace
Indicates that a location is customarily used as a gathering spot for meetings or social interactions according to established tradition.
-
E.
meetingPartner
Indicates that two entities are participants in the same meeting, standing in a mutual partner or counterpart relationship within that meeting.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5334640888190bd44bc15e97822d3 |
completed | April 19, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69e469dbf5208190b6fc49e02a087f54 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:36 a.m.