Triple
T16550803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mangualde |
E402065
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Espinho
Espinho is a civil parish located in the municipality of Mangualde in Portugal’s Viseu District.
|
E1222465
|
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: Espinho | Statement: [Mangualde, hasParish, Espinho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Espinho Context triple: [Mangualde, hasParish, Espinho]
-
A.
Espinho
Espinho is a coastal city and municipality in northern Portugal, known for its beaches, casino, and traditional fishing heritage.
-
B.
Carvoeiro
Carvoeiro is a picturesque coastal village in southern Portugal known for its dramatic cliffs, sandy beaches, and role as a popular holiday destination.
-
C.
Sernancelhe
Sernancelhe is a municipality in northern Portugal known for its historic granite architecture, religious heritage, and scenic rural landscapes.
-
D.
Porto Covo
Porto Covo is a small coastal village in Portugal’s Alentejo region, known for its picturesque beaches, rugged cliffs, and traditional whitewashed houses.
-
E.
Sertã
Sertã is a municipality and town in central Portugal known for its forested landscapes, river beaches, and traditional cuisine.
- 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: Espinho Triple: [Mangualde, hasParish, Espinho]
Generated description
Espinho is a civil parish located in the municipality of Mangualde in Portugal’s Viseu District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Espinho Target entity description: Espinho is a civil parish located in the municipality of Mangualde in Portugal’s Viseu District.
-
A.
Espinho
Espinho is a coastal city and municipality in northern Portugal, known for its beaches, casino, and traditional fishing heritage.
-
B.
Carvoeiro
Carvoeiro is a picturesque coastal village in southern Portugal known for its dramatic cliffs, sandy beaches, and role as a popular holiday destination.
-
C.
Sernancelhe
Sernancelhe is a municipality in northern Portugal known for its historic granite architecture, religious heritage, and scenic rural landscapes.
-
D.
Porto Covo
Porto Covo is a small coastal village in Portugal’s Alentejo region, known for its picturesque beaches, rugged cliffs, and traditional whitewashed houses.
-
E.
Sertã
Sertã is a municipality and town in central Portugal known for its forested landscapes, river beaches, and traditional cuisine.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc451dc8190b571d5010f4017f4 |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00758f97708190a289da0bd5d5c254 |
completed | May 10, 2026, 12:09 p.m. |
| NEDg | Description generation | batch_6a007680bc7c81908c81ad690035ed47 |
completed | May 10, 2026, 12:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007728680c819082a3bd7e84edb2b0 |
completed | May 10, 2026, 12:16 p.m. |
Created at: April 10, 2026, 5:15 a.m.