Triple
T3608741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centro Region |
E76433
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Sertã
Sertã is a municipality and town in central Portugal known for its forested landscapes, river beaches, and traditional cuisine.
|
E375176
|
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: Sertã | Statement: [Centro Region, containsCity, Sertã]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sertã Context triple: [Centro Region, containsCity, Sertã]
-
A.
Algar
Algar is a surname of English origin borne by various notable individuals, including figures in the arts and entertainment.
-
B.
Serpa
Serpa is a historic walled town and municipality in Portugal’s Alentejo region, known for its medieval architecture, whitewashed houses, and traditional cheese production.
-
C.
Odeceixe
Odeceixe is a coastal village and civil parish in Portugal’s Algarve region, known for its scenic beach at the mouth of the Ribeira de Seixe and its location within the municipality of Aljezur.
-
D.
Abrantes
Abrantes is a historic Portuguese city in the Santarém District, known for its hilltop castle and strategic location overlooking the Tagus River.
-
E.
Quarteira
Quarteira is a coastal town in Portugal’s Algarve region known for its long sandy beaches, seaside promenade, and role as a popular holiday resort.
- 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: Sertã Triple: [Centro Region, containsCity, Sertã]
Generated description
Sertã is a municipality and town in central Portugal known for its forested landscapes, river beaches, and traditional cuisine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sertã Target entity description: Sertã is a municipality and town in central Portugal known for its forested landscapes, river beaches, and traditional cuisine.
-
A.
Algar
Algar is a surname of English origin borne by various notable individuals, including figures in the arts and entertainment.
-
B.
Serpa
Serpa is a historic walled town and municipality in Portugal’s Alentejo region, known for its medieval architecture, whitewashed houses, and traditional cheese production.
-
C.
Odeceixe
Odeceixe is a coastal village and civil parish in Portugal’s Algarve region, known for its scenic beach at the mouth of the Ribeira de Seixe and its location within the municipality of Aljezur.
-
D.
Abrantes
Abrantes is a historic Portuguese city in the Santarém District, known for its hilltop castle and strategic location overlooking the Tagus River.
-
E.
Quarteira
Quarteira is a coastal town in Portugal’s Algarve region known for its long sandy beaches, seaside promenade, and role as a popular holiday resort.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc22a3cf081908c20b6fb55be0db2 |
completed | March 8, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f02b3c081909705e05ac923f840 |
completed | March 13, 2026, 5:53 p.m. |
| NEDg | Description generation | batch_69b451b2d8d081909ba496e70d92a295 |
completed | March 13, 2026, 6:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b456c7c0c48190aba2abcff4267122 |
completed | March 13, 2026, 6:26 p.m. |
Created at: March 8, 2026, 3:22 p.m.