Triple
T34232849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llobregat–Anoia line urban services |
E878248
|
entity |
| Predicate | servesComarca |
P184152
|
FINISHED |
| Object | Baix Llobregat |
—
|
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: Baix Llobregat | Statement: [Llobregat–Anoia line urban services, servesComarca, Baix Llobregat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesComarca Context triple: [Llobregat–Anoia line urban services, servesComarca, Baix Llobregat]
-
A.
inComarca
chosen
Indicates that one entity is located within or belongs to the jurisdiction or territory of a specific comarca (administrative district or region).
-
B.
hasComarca
Indicates that one entity is associated with, or belongs to, a specific comarca (an administrative or territorial district).
-
C.
servesCommune
Indicates that an entity provides services or functions in support of a particular commune or local municipality.
-
D.
servesTownship
Indicates that an entity provides official services or administrative functions to a particular township.
-
E.
servesAsMunicipalAuthorityFor
Indicates that an entity functions as the official municipal governing or administrative authority for a specified locality or jurisdiction.
- 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_69f349b22d8c819096b22df268382aa9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff97637ad881908c24fe2cc6b036db |
completed | May 9, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69ff96c43a808190942eeda1934602db |
completed | May 9, 2026, 8:19 p.m. |
Created at: May 1, 2026, 1:56 a.m.