Triple
T8161112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Málaga Cathedral |
E190579
|
entity |
| Predicate | hasUnfinishedTower |
P78572
|
FINISHED |
| Object | south tower |
—
|
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: south tower | Statement: [Málaga Cathedral, hasUnfinishedTower, south tower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnfinishedTower Context triple: [Málaga Cathedral, hasUnfinishedTower, south tower]
-
A.
hasTower
Indicates that one entity possesses, contains, or is characterized by the presence of a tower.
-
B.
hasTowerPosition
Indicates that an entity occupies or is assigned a specific position or location within a tower.
-
C.
hasNotCompleted
chosen
Indicates that an entity has an expected task, process, or requirement that remains unfinished or not yet fulfilled.
-
D.
towerCompletedBefore
Indicates that the construction or completion of one tower occurred earlier in time than the construction or completion of another tower.
-
E.
hasUnfinishedEnding
Indicates that an entity concludes in an incomplete, unresolved, or open-ended manner rather than reaching a fully finished state.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb455559188190bf95d9d93bb76002 |
completed | March 31, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69cb36a4c40c81909f60aef0e1624c13 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:38 p.m.