Triple
T15567777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anadia |
E374159
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Sangalhos
Sangalhos is a civil parish in the municipality of Anadia, located in Portugal’s Aveiro District and known for its wine production and local sports traditions.
|
E1166610
|
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: Sangalhos | Statement: [Anadia, hasParish, Sangalhos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sangalhos Context triple: [Anadia, hasParish, Sangalhos]
-
A.
Garanhuns
Garanhuns is a city in northeastern Brazil known for its mild climate, hilly terrain, and popular winter music festival.
-
B.
Sangaria
Sangaria is a prominent town in Rajasthan, India, known as a key commercial and agricultural center within the Hanumangarh district.
-
C.
Guiguinto
Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
-
D.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
-
E.
Chaguanas
Chaguanas is a rapidly growing commercial and residential hub on the island of Trinidad, known for its bustling markets and diverse population.
- 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: Sangalhos Triple: [Anadia, hasParish, Sangalhos]
Generated description
Sangalhos is a civil parish in the municipality of Anadia, located in Portugal’s Aveiro District and known for its wine production and local sports traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sangalhos Target entity description: Sangalhos is a civil parish in the municipality of Anadia, located in Portugal’s Aveiro District and known for its wine production and local sports traditions.
-
A.
Garanhuns
Garanhuns is a city in northeastern Brazil known for its mild climate, hilly terrain, and popular winter music festival.
-
B.
Sangaria
Sangaria is a prominent town in Rajasthan, India, known as a key commercial and agricultural center within the Hanumangarh district.
-
C.
Guiguinto
Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
-
D.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
-
E.
Chaguanas
Chaguanas is a rapidly growing commercial and residential hub on the island of Trinidad, known for its bustling markets and diverse population.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dde90b081908284d9258d4462e3 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56c231e0819083d6032eb21114b2 |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff58334f688190907e331755156c8a |
completed | May 9, 2026, 3:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff588814808190a7e593a5ae80f816 |
completed | May 9, 2026, 3:53 p.m. |
Created at: April 10, 2026, 4:10 a.m.