Triple
T10709804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathedral of Murcia |
E252500
|
entity |
| Predicate | towerStyle |
P95594
|
FINISHED |
| Object | combination of Renaissance, Baroque and Neoclassical |
—
|
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: combination of Renaissance, Baroque and Neoclassical | Statement: [Cathedral of Murcia, towerStyle, combination of Renaissance, Baroque and Neoclassical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: towerStyle Context triple: [Cathedral of Murcia, towerStyle, combination of Renaissance, Baroque and Neoclassical]
-
A.
towerType
Indicates the specific kind or classification of a tower that an entity is associated with or represents.
-
B.
towerShape
Indicates that one entity has the physical form or outline of a tower in relation to another entity.
-
C.
towerName
Indicates the specific name assigned to a tower in the relationship.
-
D.
tower
Indicates that one entity is a tall, prominent structure rising above its surroundings, often used for observation, support, or communication.
-
E.
towerColor
Indicates the color attribute associated with a tower in the relationship.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fe515b1081909532a20b61ff6cf0 |
completed | April 9, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69d6f30455888190b77f476b8418eaee |
completed | April 9, 2026, 12:29 a.m. |
| PDg | Predicate description generation | batch_69d6fa323564819097b207eb53f8a9b8 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:13 p.m.