Triple
T8041981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mālaqa |
E187461
|
entity |
| Predicate | roleInAlAndalus |
P80709
|
FINISHED |
| Object | port city |
—
|
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: port city | Statement: [Mālaqa, roleInAlAndalus, port city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInAlAndalus Context triple: [Mālaqa, roleInAlAndalus, port city]
-
A.
roleInMedina
Indicates the specific function, position, or responsibility an entity holds within the context of Medina.
-
B.
roleInArabia
Indicates that an entity holds or held a specific role, position, or function within the context of Arabia.
-
C.
roleDuringCrusades
Indicates the specific function, position, or involvement an entity had in relation to the Crusades during the period they occurred.
-
D.
roleInIslamicHistory
Indicates the specific function, status, or contribution an entity has within the context of Islamic historical events, periods, or developments.
-
E.
roleInQuranHistory
Indicates a relationship where an entity holds or plays a specific role within the historical events, narratives, or context presented in the Quran.
- F. None of above. chosen
Provenance (4 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_69ca82b00cb48190b59a300f70e97bd7 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f1e98508190a29a7bb5055f8ba0 |
completed | March 31, 2026, 3:27 a.m. |
| PD | Predicate disambiguation | batch_69cb049688208190b32088bd2c5930bc |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bcbbc0819094a98e7ffffb7a40 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:23 p.m.