Triple
T36549738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waymeet |
E901226
|
entity |
| Predicate | regionWithinFiction |
P98030
|
FINISHED |
| Object | Westfarthing |
—
|
NE NERFINISHED |
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: Westfarthing | Statement: [Waymeet, regionWithinFiction, Westfarthing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionWithinFiction Context triple: [Waymeet, regionWithinFiction, Westfarthing]
-
A.
eraWithinFiction
Indicates that a time period or era exists inside the narrative world or timeline of a fictional work.
-
B.
raceWithinFiction
Indicates that one fictional character or entity belongs to a particular race or species within a fictional universe.
-
C.
rulesWithinFiction
Indicates that one set of rules governs or constrains events, characters, or elements within a fictional world or narrative.
-
D.
showWithinFiction
Indicates that one entity is depicted, referenced, or occurs as part of the fictional world or narrative context of another entity.
-
E.
locationWithinFiction
chosen
Indicates that one fictional location is situated inside or contained within another fictional 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_69f76e61217081908b79d610fe67b013 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a001cc0ff588190bb7c8a6fd427d02b |
completed | May 10, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_6a001b3ea18c8190aeda7a32b2697490 |
completed | May 10, 2026, 5:44 a.m. |
Created at: May 3, 2026, 4:11 p.m.