Triple
T4218627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sal |
E94282
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Espargos |
E420993
|
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: Espargos | Statement: [Sal, hasTown, Espargos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Espargos Context triple: [Sal, hasTown, Espargos]
-
A.
Espargos
chosen
Espargos is the main urban and administrative center of Sal Island in Cape Verde, known for its proximity to Amílcar Cabral International Airport.
-
B.
Serrano
Serrano are an Indigenous people of Southern California traditionally inhabiting the San Bernardino Mountains and surrounding desert regions.
-
C.
Manzanilla
Manzanilla is a dry, pale Spanish fino-style sherry wine traditionally produced and aged in the coastal town of Sanlúcar de Barrameda.
-
D.
Benincasa
Benincasa is an Italian surname historically associated with the family of the medieval mystic and saint Catherine of Siena.
-
E.
Ginnheimer Spargel
Ginnheimer Spargel is the colloquial nickname for the Europaturm, a prominent telecommunications tower and landmark in Frankfurt am Main, Germany.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e098da881909a0cc339cc186627 |
completed | March 12, 2026, 11:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b77294208190a53d6950dbf36351 |
completed | March 14, 2026, 7:30 p.m. |
Created at: March 12, 2026, 11:04 p.m.