Triple
T38351993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moià |
E1046212
|
entity |
| Predicate | previousComarca |
P201646
|
FINISHED |
| Object | Bages |
—
|
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: Bages | Statement: [Moià, previousComarca, Bages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousComarca Context triple: [Moià, previousComarca, Bages]
-
A.
previousCounty
Indicates that one county was the immediately preceding county associated with an entity before the current or later county.
-
B.
previousProvince
Indicates that one province was the immediately preceding administrative region of another in a temporal or historical sequence.
-
C.
previousVoivodeship
Indicates that one voivodeship was the immediately preceding administrative region for another in a temporal or historical sequence.
-
D.
previousBorough
Indicates that one borough directly precedes another in a defined ordering or sequence.
-
E.
previousMunicipalityNameVariant
Indicates that an entity had a different municipality name in the past, specifying a former variant of its municipal designation.
- F. None of above. chosen
Provenance (4 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_69f76e3a94fc81908edc175e8d259e80 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a000fda03948190881b7275f249768f |
completed | May 10, 2026, 4:55 a.m. |
| PD | Predicate disambiguation | batch_6a000f607f1881908ee750d58da91690 |
completed | May 10, 2026, 4:53 a.m. |
| PDg | Predicate description generation | batch_6a000fd9602481909ffdc409ac9ca4bb |
completed | May 10, 2026, 4:55 a.m. |
Created at: May 3, 2026, 4:31 p.m.