Triple
T19522092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War of Tétouan |
E488425
|
entity |
| Predicate | MoroccanConcession |
P136628
|
FINISHED |
| Object | recognition of Spanish presence in Ceuta and Melilla |
—
|
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: recognition of Spanish presence in Ceuta and Melilla | Statement: [War of Tétouan, MoroccanConcession, recognition of Spanish presence in Ceuta and Melilla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MoroccanConcession Context triple: [War of Tétouan, MoroccanConcession, recognition of Spanish presence in Ceuta and Melilla]
-
A.
MoroccanStrengthApprox
Indicates an approximate assessment or estimation of the strength associated with Morocco or Moroccan-related entities.
-
B.
notUnderFullOttomanControl
Indicates that the entity or region was not completely governed, administered, or dominated by the Ottoman Empire.
-
C.
OmaniCapital
Indicates that a location serves as the capital city of Oman.
-
D.
SahelCountry
Indicates that a country is geographically located in, or commonly considered part of, the Sahel region of Africa.
-
E.
MoroccanRuler
Indicates a person holds or held the position of ruler over Morocco.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635a1ae9881908dfdcc94490c57aa |
completed | April 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69e514c9c00481909b76bda67957e58b |
completed | April 19, 2026, 5:45 p.m. |
| PDg | Predicate description generation | batch_69e51a23300c8190988552491d9783d7 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:40 p.m.