Triple
T15568142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ansião |
E374168
|
entity |
| Predicate | hasCivilParish |
P2739
|
FINISHED |
| Object |
Avelar
Avelar is a civil parish and locality within the municipality of Ansião in central Portugal.
|
E1165583
|
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: Avelar | Statement: [Ansião, hasCivilParish, Avelar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avelar Context triple: [Ansião, hasCivilParish, Avelar]
-
A.
Avándaro
Avándaro is a scenic resort and residential area near Valle de Bravo in central Mexico, known for its natural landscapes, outdoor recreation, and vacation homes.
-
B.
Catriel
Catriel is a small city in Argentina known for its oil and gas industry, located in the northern part of Río Negro Province.
-
C.
Azuara
Azuara is a small municipality in the province of Zaragoza, Aragon, Spain, known for its rural character and historical heritage.
-
D.
Osaelva
Osaelva is a river flowing through the municipality of Ulvik in western Norway, known for its scenic valley landscape and contribution to local hydropower and agriculture.
-
E.
Arnalta
Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
- 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: Avelar Triple: [Ansião, hasCivilParish, Avelar]
Generated description
Avelar is a civil parish and locality within the municipality of Ansião in central Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Avelar Target entity description: Avelar is a civil parish and locality within the municipality of Ansião in central Portugal.
-
A.
Avándaro
Avándaro is a scenic resort and residential area near Valle de Bravo in central Mexico, known for its natural landscapes, outdoor recreation, and vacation homes.
-
B.
Catriel
Catriel is a small city in Argentina known for its oil and gas industry, located in the northern part of Río Negro Province.
-
C.
Azuara
Azuara is a small municipality in the province of Zaragoza, Aragon, Spain, known for its rural character and historical heritage.
-
D.
Osaelva
Osaelva is a river flowing through the municipality of Ulvik in western Norway, known for its scenic valley landscape and contribution to local hydropower and agriculture.
-
E.
Arnalta
Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
- 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_69ff4c4219a081909acca9f783ecd44b |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff50d54960819089491ccb580784b8 |
completed | May 9, 2026, 3:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5208e9a08190b4a6f4157cf3c237 |
completed | May 9, 2026, 3:26 p.m. |
Created at: April 10, 2026, 4:10 a.m.