Triple
T11613867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English Separatists in Leiden |
E275452
|
entity |
| Predicate | primaryMeetingPlace |
P16368
|
FINISHED |
| Object | houses and workshops in Leiden |
—
|
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: houses and workshops in Leiden | Statement: [English Separatists in Leiden, primaryMeetingPlace, houses and workshops in Leiden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryMeetingPlace Context triple: [English Separatists in Leiden, primaryMeetingPlace, houses and workshops in Leiden]
-
A.
firstMeetingPlace
Indicates the location where two or more entities met each other for the very first time.
-
B.
traditionalMeetingPlace
Indicates that a location is customarily used as a gathering spot for meetings or social interactions according to established tradition.
-
C.
previousMeetingPlace
Indicates the location where two or more entities met on a prior occasion.
-
D.
meetingPlaceOf
Indicates the location where a particular meeting or gathering takes place or is held for the referenced entities.
-
E.
gatheringPlace
chosen
Indicates a location where entities come together or assemble, typically for a shared activity, purpose, or event.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a044a3088190b92f4674c2d0b443 |
completed | April 10, 2026, 7:01 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.