Triple
T15606826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serra da Lousã |
E375179
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Trevim
Trevim is a prominent mountain peak in central Portugal, known as the summit of the Serra da Lousã range and a popular spot for panoramic views and outdoor activities.
|
E1166848
|
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: Trevim | Statement: [Serra da Lousã, highestPoint, Trevim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trevim Context triple: [Serra da Lousã, highestPoint, Trevim]
-
A.
Tremona
Tremona is a small village in the canton of Ticino in southern Switzerland, known for its archaeological park and scenic location near the Italian border.
-
B.
Tredòs
Tredòs is a small village in the Val d'Aran region of Catalonia, Spain, known for its traditional Pyrenean architecture and proximity to the Baqueira-Beret ski resort.
-
C.
Ardantrive
Ardantrive is a small settlement on the Scottish island of Kerrera, located off the west coast near Oban.
-
D.
Treiten
Treiten is a small municipality in the canton of Bern in Switzerland, known for its rural character and agricultural surroundings.
-
E.
Teigne
Teigne is the traditional title held by the monarch of the Serer kingdom of Baol in what is now Senegal.
- 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: Trevim Triple: [Serra da Lousã, highestPoint, Trevim]
Generated description
Trevim is a prominent mountain peak in central Portugal, known as the summit of the Serra da Lousã range and a popular spot for panoramic views and outdoor activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trevim Target entity description: Trevim is a prominent mountain peak in central Portugal, known as the summit of the Serra da Lousã range and a popular spot for panoramic views and outdoor activities.
-
A.
Tremona
Tremona is a small village in the canton of Ticino in southern Switzerland, known for its archaeological park and scenic location near the Italian border.
-
B.
Tredòs
Tredòs is a small village in the Val d'Aran region of Catalonia, Spain, known for its traditional Pyrenean architecture and proximity to the Baqueira-Beret ski resort.
-
C.
Ardantrive
Ardantrive is a small settlement on the Scottish island of Kerrera, located off the west coast near Oban.
-
D.
Treiten
Treiten is a small municipality in the canton of Bern in Switzerland, known for its rural character and agricultural surroundings.
-
E.
Teigne
Teigne is the traditional title held by the monarch of the Serer kingdom of Baol in what is now Senegal.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e7ec08c8190b3842cf3043aea27 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56d51c28819097b8c2c0e2307401 |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff57c304188190afa695ae88cf0234 |
completed | May 9, 2026, 3:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5920436c81909addad5bb4566ae9 |
completed | May 9, 2026, 3:56 p.m. |
Created at: April 10, 2026, 4:13 a.m.