Triple
T21376782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vila Franca de Xira |
E527228
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object | Alhandra |
—
|
NE NERFINISHED |
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: Alhandra | Statement: [Vila Franca de Xira, hasParish, Alhandra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alhandra Context triple: [Vila Franca de Xira, hasParish, Alhandra]
-
A.
Alhandra
chosen
Alhandra is a town in Portugal historically noted as the birthplace of the famed Portuguese navigator and empire-builder Afonso de Albuquerque.
-
B.
Palma Nova
Palma Nova is a popular resort town on the Spanish island of Mallorca, known for its sandy beaches, tourist amenities, and vibrant holiday atmosphere.
-
C.
Meraas
Meraas is a Dubai-based property and investment company known for developing large-scale urban, leisure, and waterfront destinations across the city.
-
D.
Vinhedo
Vinhedo is a municipality in southeastern Brazil known for its high quality of life, proximity to Campinas, and attractions such as the Hopi Hari theme park and annual grape festival.
-
E.
Vila Flor
Vila Flor is a municipality in northern Portugal, situated in the Douro region known for its wine production and scenic landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0c79df88190b4b9804efebc8c6e |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:11 p.m.