Triple
T14097027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuenca |
E339278
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Moors |
E574526
|
NE 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: Moors | Statement: [Cuenca, foundedBy, Moors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moors Context triple: [Cuenca, foundedBy, Moors]
-
A.
Moors
Moors is a surname of English origin that appears as the middle name of American businessman and philanthropist John Moors Cabot.
-
B.
Muslim Moors
Muslim Moors are a Muslim ethnic community of Arab and local descent primarily found in Sri Lanka, historically known for their role in trade and cultural exchange.
-
C.
Mouriscas
Mouriscas is a civil parish in the municipality of Abrantes, located in central Portugal.
-
D.
Berbers
The Berbers, or Amazigh, are an indigenous ethnic group of North Africa with their own distinct languages and cultural traditions, predating Arab and Islamic influences in the region.
-
E.
Moor
chosen
A Moor is a historical term used in Europe to refer primarily to Muslim inhabitants of North Africa and, by extension, people of North African or mixed Arab-Berber descent who lived in or influenced parts of the Iberian Peninsula and the Mediterranean.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fb926288190a7f0f50d1d585d76 |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0adfc28819097a1bfd56739c286 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.