Triple
T1645009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Hierro |
E35560
|
entity |
| Predicate | largestSettlement |
P163
|
FINISHED |
| Object | Valverde |
E186165
|
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: Valverde | Statement: [El Hierro, largestSettlement, Valverde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valverde Context triple: [El Hierro, largestSettlement, Valverde]
-
A.
Valverde
chosen
Valverde is the small administrative and population center of El Hierro in Spain’s Canary Islands, known for its hillside setting and traditional island character.
-
B.
Carvajal
Carvajal is a Spanish surname of likely toponymic origin, borne by various notable figures in Spanish and Latin American history.
-
C.
Montero Ríos
Montero Ríos is the surname of Eugenio Montero Ríos, a prominent Spanish jurist and politician who served as Prime Minister of Spain in the early 20th century.
-
D.
Álvaro
Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
-
E.
Zorreguieta
Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a41e5a08190b97dd1c0b12c662a |
completed | March 5, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad6818c8288190af5307384f1c8080 |
completed | March 8, 2026, 12:14 p.m. |
Created at: March 4, 2026, 7:28 p.m.