Triple
T29785405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liébana |
E756248
|
entity |
| Predicate | PotesIs |
P69227
|
FINISHED |
| Object | main service and commercial center |
—
|
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: main service and commercial center | Statement: [Liébana, PotesIs, main service and commercial center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PotesIs Context triple: [Liébana, PotesIs, main service and commercial center]
-
A.
ديانته
Indicates the religious affiliation or faith that a person adheres to.
-
B.
نوقشفي
Indicates that something or someone was discussed or debated within a particular context or setting.
-
C.
Juyo
Indicates a relationship where one entity is associated with or characterized by the concept or style referred to as "Juyo."
-
D.
أولمنحملاللقب
Indicates that the subject is the first entity ever to hold or bear the specified title.
-
E.
HethIs
chosen
Indicates that one entity is identified as or equated with another entity, expressing a basic “is” or “being” relationship between them.
- 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_69f22451fb748190bbdbab401280affb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f674a9cc8481909068fcdcc8ed7dab |
completed | May 2, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:08 p.m.