Triple
T15606701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sertã |
E375176
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Ermida
Ermida is a small village or locality within the municipality of Sertã in central Portugal.
|
E1166344
|
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: Ermida | Statement: [Sertã, hasPart, Ermida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ermida Context triple: [Sertã, hasPart, Ermida]
-
A.
Santa Comba Dão
Santa Comba Dão is a small municipality in Portugal’s Viseu District, known for its riverside setting and historical railway connections.
-
B.
São Bento
São Bento is a civil parish within the municipality of Angra do Heroísmo on Terceira Island in Portugal’s Azores archipelago.
-
C.
São Bento
São Bento is a civil parish within the municipality of Porto de Mós in Portugal, known for its rural character and integration into the limestone landscapes of the Leiria district.
-
D.
Sítio da Nazaré
Sítio da Nazaré is the historic clifftop district overlooking the Atlantic in the Portuguese town of Nazaré, known for its sanctuary, viewpoints, and dramatic coastal scenery.
-
E.
São Bartolomeu da Serra
São Bartolomeu da Serra is a small civil parish in the municipality of Santiago do Cacém in the Alentejo region of southern Portugal.
- 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: Ermida Triple: [Sertã, hasPart, Ermida]
Generated description
Ermida is a small village or locality within the municipality of Sertã in central Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ermida Target entity description: Ermida is a small village or locality within the municipality of Sertã in central Portugal.
-
A.
Santa Comba Dão
Santa Comba Dão is a small municipality in Portugal’s Viseu District, known for its riverside setting and historical railway connections.
-
B.
São Bento
São Bento is a civil parish within the municipality of Angra do Heroísmo on Terceira Island in Portugal’s Azores archipelago.
-
C.
São Bento
São Bento is a civil parish within the municipality of Porto de Mós in Portugal, known for its rural character and integration into the limestone landscapes of the Leiria district.
-
D.
Sítio da Nazaré
Sítio da Nazaré is the historic clifftop district overlooking the Atlantic in the Portuguese town of Nazaré, known for its sanctuary, viewpoints, and dramatic coastal scenery.
-
E.
São Bartolomeu da Serra
São Bartolomeu da Serra is a small civil parish in the municipality of Santiago do Cacém in the Alentejo region of southern Portugal.
- 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_69ff56d3541c8190a5a2aa9730260562 |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff578dc9dc8190ae0b1abcd74a6346 |
completed | May 9, 2026, 3:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff586ce89081909ebc1779bb9c4221 |
completed | May 9, 2026, 3:53 p.m. |
Created at: April 10, 2026, 4:13 a.m.