Triple
T23471582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sancho I of León |
E570142
|
entity |
| Predicate | receivedMedicalTreatmentFrom |
P135586
|
FINISHED |
| Object | physicians of the Caliphate of Córdoba |
—
|
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: physicians of the Caliphate of Córdoba | Statement: [Sancho I of León, receivedMedicalTreatmentFrom, physicians of the Caliphate of Córdoba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedMedicalTreatmentFrom Context triple: [Sancho I of León, receivedMedicalTreatmentFrom, physicians of the Caliphate of Córdoba]
-
A.
hasReceivedTreatmentFor
Indicates that an entity has undergone or been given a treatment in relation to a specified condition, issue, or problem.
-
B.
hasMedicalAttendant
chosen
Indicates that one entity serves as a medical attendant (e.g., providing medical care or supervision) for another entity.
-
C.
receivedBloodTransfusionFrom
Indicates that one entity has been given blood or blood products from another entity through a transfusion procedure.
-
D.
receivedImmunityFrom
Indicates that one entity has been granted protection or exemption (such as legal, medical, or other forms of immunity) by another entity.
-
E.
hasImmediateMedicalResponse
Indicates that an entity receives prompt medical attention or intervention immediately following an incident or onset of a medical condition.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a700bd0481908047aa4678217cbd |
completed | April 29, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:55 p.m.