Triple
T15606648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Figueira da Foz |
E375175
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Vila Verde
Vila Verde is a civil parish within the coastal municipality of Figueira da Foz in central Portugal.
|
E1169061
|
NE FINISHED |
How this triple was built (4 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: Vila Verde | Statement: [Figueira da Foz, hasPart, Vila Verde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vila Verde Context triple: [Figueira da Foz, hasPart, Vila Verde]
-
A.
Vila Verde
Vila Verde is a municipality in the Braga District of northern Portugal, known for its rural landscapes and traditional Minho culture.
-
B.
Vila Viçosa
Vila Viçosa is a historic town in Portugal renowned for its marble quarries and as a former residence of the Portuguese royal family.
-
C.
Vila Nova da Barquinha
Vila Nova da Barquinha is a small Portuguese municipality known for its riverside setting along the Tagus River and its historic castle of Almourol.
-
D.
Vila do Porto
Vila do Porto is the main town and oldest settlement in the Azores, located on Santa Maria Island in Portugal.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vila Verde Triple: [Figueira da Foz, hasPart, Vila Verde]
Generated description
Vila Verde is a civil parish within the coastal municipality of Figueira da Foz in central Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vila Verde Target entity description: Vila Verde is a civil parish within the coastal municipality of Figueira da Foz in central Portugal.
-
A.
Vila Verde
Vila Verde is a municipality in the Braga District of northern Portugal, known for its rural landscapes and traditional Minho culture.
-
B.
Vila Viçosa
Vila Viçosa is a historic town in Portugal renowned for its marble quarries and as a former residence of the Portuguese royal family.
-
C.
Vila Nova da Barquinha
Vila Nova da Barquinha is a small Portuguese municipality known for its riverside setting along the Tagus River and its historic castle of Almourol.
-
D.
Vila do Porto
Vila do Porto is the main town and oldest settlement in the Azores, located on Santa Maria Island in Portugal.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e7ec08c8190b3842cf3043aea27 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff678821a481908378db1ffc76ba05 |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff681f91b881908bcd8faf27862359 |
completed | May 9, 2026, 5 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6888a85481909e8cdd34ed230fa4 |
completed | May 9, 2026, 5:02 p.m. |
Created at: April 10, 2026, 4:13 a.m.