Triple
T36581364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alcazaba of Mérida |
E902403
|
entity |
| Predicate | integratesStructureFrom |
P52639
|
FINISHED |
| Object | Roman 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: Roman period | Statement: [Alcazaba of Mérida, integratesStructureFrom, Roman period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: integratesStructureFrom Context triple: [Alcazaba of Mérida, integratesStructureFrom, Roman period]
-
A.
integratedStructure
Indicates that multiple components are combined into a single, cohesive structure that functions as an integrated whole.
-
B.
viaStructure
Indicates that one entity is connected to or accessed through a particular structural element or medium.
-
C.
containsStructureFrom
chosen
Indicates that one entity includes or incorporates a structural component originating from another entity.
-
D.
densityStructure
Indicates a relationship where one entity characterizes or defines the density-related structural properties or organization of another entity.
-
E.
encodingStructure
Indicates the structural scheme or format used to encode information or data.
- 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_69f76e64d8908190868473959a250b94 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.