Triple
T15567586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ourém |
E374155
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Atouguia
Atouguia is a civil parish located within the municipality of Ourém in central Portugal.
|
E1165495
|
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: Atouguia | Statement: [Ourém, contains, Atouguia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atouguia Context triple: [Ourém, contains, Atouguia]
-
A.
Waynoka
Waynoka is a small city in northwestern Oklahoma known historically as a railroad hub and as a gateway to the nearby Little Sahara State Park sand dunes.
-
B.
Amboim
Amboim is a municipality in Angola known for its agricultural activities within the coastal Cuanza Sul Province.
-
C.
Fonte Grande
Fonte Grande is a notable historic fountain and local landmark in the village of Alte in Portugal’s Algarve region, attracting visitors for its traditional charm and scenic setting.
-
D.
Araguaína
Araguaína is a major commercial and economic center in northern Brazil, located in the state of Tocantins.
-
E.
Corumbá
Corumbá is a Brazilian city in the state of Mato Grosso do Sul, known as a key gateway to the Pantanal wetlands and an important regional center for river trade and ecotourism.
- 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: Atouguia Triple: [Ourém, contains, Atouguia]
Generated description
Atouguia is a civil parish located within the municipality of Ourém in central Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Atouguia Target entity description: Atouguia is a civil parish located within the municipality of Ourém in central Portugal.
-
A.
Waynoka
Waynoka is a small city in northwestern Oklahoma known historically as a railroad hub and as a gateway to the nearby Little Sahara State Park sand dunes.
-
B.
Amboim
Amboim is a municipality in Angola known for its agricultural activities within the coastal Cuanza Sul Province.
-
C.
Fonte Grande
Fonte Grande is a notable historic fountain and local landmark in the village of Alte in Portugal’s Algarve region, attracting visitors for its traditional charm and scenic setting.
-
D.
Araguaína
Araguaína is a major commercial and economic center in northern Brazil, located in the state of Tocantins.
-
E.
Corumbá
Corumbá is a Brazilian city in the state of Mato Grosso do Sul, known as a key gateway to the Pantanal wetlands and an important regional center for river trade and ecotourism.
- 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.