Triple
T13876986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matriz |
E333607
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | city of Horta |
E69958
|
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: city of Horta | Statement: [Matriz, partOf, city of Horta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Horta Context triple: [Matriz, partOf, city of Horta]
-
A.
Horta
Horta is a Barcelona Metro station serving the Horta neighborhood in the city’s northeastern district.
-
B.
Horta
chosen
Horta is a coastal city on the island of Faial in the Azores, known for its historic transatlantic harbor and vibrant marina frequented by ocean-crossing yachts.
-
C.
Figueira da Horta
Figueira da Horta is a small village located on the island of Maio in Cape Verde.
-
D.
Vila do Conde
Vila do Conde is a coastal city in northern Portugal known for its historic shipbuilding heritage, beaches, and well-preserved medieval architecture.
-
E.
Municipality of Horta
The Municipality of Horta is a local government area and coastal town on Faial Island in Portugal’s Azores archipelago, known for its historic transatlantic port and marina.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0be556708190bbcf0b3583f677e3 |
completed | April 14, 2026, 9:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd466d5f1c81909accae028184b857 |
completed | May 8, 2026, 2:11 a.m. |
Created at: April 9, 2026, 10:15 p.m.