Triple
T32855605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xàtiva Castle |
E840365
|
entity |
| Predicate | hasSignificantReconstructionPeriod |
P24909
|
FINISHED |
| Object | Islamic period |
—
|
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: Islamic period | Statement: [Xàtiva Castle, hasSignificantReconstructionPeriod, Islamic period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignificantReconstructionPeriod Context triple: [Xàtiva Castle, hasSignificantReconstructionPeriod, Islamic period]
-
A.
reconstructionPeriod
Indicates a time span during which something that was damaged, destroyed, or altered is being rebuilt, restored, or substantially repaired.
-
B.
hasMajorReconstruction
Indicates that an entity has undergone a significant or extensive reconstruction or renovation.
-
C.
reconstructedDuring
chosen
Indicates that an entity was rebuilt, restored, or significantly repaired within a specified time period or event.
-
D.
reconstructionOrRestorationDate
Indicates the date on which an entity was reconstructed or restored after damage, alteration, or deterioration.
-
E.
historicalReconstruction
Indicates the process of recreating or inferring past events, conditions, or states of affairs based on available evidence or records.
- 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_69f349412c78819084459850e11d29f7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: May 1, 2026, 1:17 a.m.