Triple
T15570375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beiras |
E374222
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Ílhavo |
E374157
|
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: Ílhavo | Statement: [Beiras, hasCity, Ílhavo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ílhavo Context triple: [Beiras, hasCity, Ílhavo]
-
A.
Ílhavo
chosen
Ílhavo is a coastal municipality in central Portugal known for its maritime heritage, cod-fishing traditions, and proximity to the Aveiro lagoon.
-
B.
Salen
Salen is a small coastal village on the Isle of Mull in Scotland, known as a local hub with basic services for residents and visitors exploring the island.
-
C.
Ilévia
Ilévia is the public transport operator responsible for managing and running the urban transit network in and around Lille, France.
-
D.
Colva
Colva is a coastal village in South Goa, India, known for its long stretch of white-sand beach, tourism, and vibrant seaside atmosphere.
-
E.
Morea
Morea was the medieval name for the Peloponnese peninsula in southern Greece, which served as a significant Byzantine province and later despotate.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e1de0488190b3639fc25f79d343 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f30e48881908b30a71796fe0d72 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:10 a.m.