Triple
T36444926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Samh ibn Mālik al-Khawlānī |
E897844
|
entity |
| Predicate | capturedRegion |
P74939
|
FINISHED |
| Object | Septimania |
—
|
NE NERFINISHED |
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: Septimania | Statement: [al-Samh ibn Mālik al-Khawlānī, capturedRegion, Septimania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capturedRegion Context triple: [al-Samh ibn Mālik al-Khawlānī, capturedRegion, Septimania]
-
A.
occupiedRegion
chosen
Indicates that an entity has taken control of and is currently holding a specific geographic area or region.
-
B.
capturedIn
Indicates that one entity was taken prisoner, seized, or otherwise brought under control within the context, location, or event represented by another entity.
-
C.
selectionRegion
Indicates a relationship where a specific region or area is designated as the active selection within a larger space or context.
-
D.
capturedFor
Indicates that one entity has been taken into custody, control, or possession specifically for the benefit, use, or purpose of another entity.
-
E.
convertedRegion
Indicates that one region has been transformed, adapted, or changed into another region or regional form.
- 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_69f76e5720b481908f8177ac24a7560b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.