Triple
T6617282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish North Africa |
E149583
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Ifni |
E233639
|
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: Ifni | Statement: [Spanish North Africa, hasPart, Ifni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ifni Context triple: [Spanish North Africa, hasPart, Ifni]
-
A.
Ifni
chosen
Ifni was a small former Spanish enclave on the Atlantic coast of southern Morocco that became notable for its decolonization conflict in the late 1950s.
-
B.
Intra
Intra is a town in northern Italy on the western shore of Lake Maggiore, now part of the municipality of Verbania.
-
C.
Innerste
Innerste is a river in Lower Saxony, Germany, that flows northward through towns such as Goslar and Hildesheim before joining the Leine.
-
D.
Indre
Indre is a river in central France that flows through the regions of Berry and Touraine before joining the Loire.
-
E.
Indre
Indre is a rural department in central France known for its quiet countryside, historic towns, and location within the Centre-Val de Loire region.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af59a344819089ec755296f04381 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbde37288190b1e65589aa09b676 |
completed | March 27, 2026, 6:26 p.m. |
Created at: March 27, 2026, 1:58 p.m.