Triple
T23428801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palacio de Cibeles |
E563266
|
entity |
| Predicate | convertedToCityHall |
P29325
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [Palacio de Cibeles, convertedToCityHall, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedToCityHall Context triple: [Palacio de Cibeles, convertedToCityHall, 2007]
-
A.
convertedToCourthouse
Indicates that something has been transformed, repurposed, or changed in function to become a courthouse.
-
B.
hasCityHall
Indicates that a location or administrative area possesses or is served by a specific city hall building or institution.
-
C.
cityHallOf
chosen
Indicates that one entity serves as the official city hall building or administrative center for the specified city.
-
D.
convertedToCathedral
Indicates that a building or structure has been transformed or repurposed into a cathedral.
-
E.
convertedToExhibitionCentre
Indicates that something has been transformed from its previous use or state into an exhibition centre.
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a54ba29881909945690496f28d65 |
completed | April 29, 2026, 6:29 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:48 p.m.