Triple
T17338162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmeira |
E420994
|
entity |
| Predicate | nearbySettlement |
P350
|
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: [Palmeira, nearbySettlement, Espargos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Espargos Context triple: [Palmeira, nearbySettlement, 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.
Asparros
Asparros was a military commander known for leading forces in the Battle of Pamplona.
-
C.
Ortigas
Ortigas is a busy elevated station on Manila’s MRT Line 3 serving the Ortigas Center business district in Metro Manila, Philippines.
-
D.
El Viso
El Viso is an affluent residential neighborhood in Madrid, Spain, known for its upscale housing and quiet, tree-lined streets.
-
E.
Segeda
Segeda was a prominent ancient Celtiberian city in what is now northeastern Spain, known for its role in the Celtiberian Wars against Rome.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a13dd44819091d296c764976dfe |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c56c8148190ab6e3e2eff09725e |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:43 a.m.