Triple
T15567575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ourém |
E374155
|
entity |
| Predicate | hasAdministrativeCenter |
P1474
|
FINISHED |
| Object |
Ourém (city)
Ourém (city) is a municipality in central Portugal known for its historic castle and proximity to the famous Catholic pilgrimage site of Fátima.
|
E1165489
|
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: Ourém (city) | Statement: [Ourém, hasAdministrativeCenter, Ourém (city)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ourém (city) Context triple: [Ourém, hasAdministrativeCenter, Ourém (city)]
-
A.
Saint-Émile
Saint-Émile is a residential district within Quebec City, Canada, known for its suburban character and integration into the borough of La Haute-Saint-Charles.
-
B.
Séjoumi
Séjoumi is a locality within the Tunis metropolitan area in Tunisia, known primarily as a residential district associated with the capital.
-
C.
Aumetz
Aumetz is a commune in northeastern France, located in the Moselle department near the border with Luxembourg.
-
D.
Noville
Noville is a small Swiss municipality in the canton of Vaud, situated near the eastern end of Lake Geneva and known for its natural wetlands and rural character.
-
E.
Villeblevin
Villeblevin is a small commune in north-central France, best known as the place where writer Albert Camus died in a car accident.
- 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: Ourém (city) Triple: [Ourém, hasAdministrativeCenter, Ourém (city)]
Generated description
Ourém (city) is a municipality in central Portugal known for its historic castle and proximity to the famous Catholic pilgrimage site of Fátima.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ourém (city) Target entity description: Ourém (city) is a municipality in central Portugal known for its historic castle and proximity to the famous Catholic pilgrimage site of Fátima.
-
A.
Saint-Émile
Saint-Émile is a residential district within Quebec City, Canada, known for its suburban character and integration into the borough of La Haute-Saint-Charles.
-
B.
Séjoumi
Séjoumi is a locality within the Tunis metropolitan area in Tunisia, known primarily as a residential district associated with the capital.
-
C.
Aumetz
Aumetz is a commune in northeastern France, located in the Moselle department near the border with Luxembourg.
-
D.
Noville
Noville is a small Swiss municipality in the canton of Vaud, situated near the eastern end of Lake Geneva and known for its natural wetlands and rural character.
-
E.
Villeblevin
Villeblevin is a small commune in north-central France, best known as the place where writer Albert Camus died in a car accident.
- 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.