Triple
T8881697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santiago do Cacém |
E211425
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Ermidas-Sado
Ermidas-Sado is a civil parish in the municipality of Santiago do Cacém in Portugal, known for its rural character and proximity to the Sado River.
|
E764208
|
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: Ermidas-Sado | Statement: [Santiago do Cacém, hasPart, Ermidas-Sado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ermidas-Sado Context triple: [Santiago do Cacém, hasPart, Ermidas-Sado]
-
A.
Ráquira
Ráquira is a Colombian town renowned for its traditional pottery, colorful handicrafts, and vibrant colonial architecture.
-
B.
An Suca
An Suca is the Irish-language name for the River Suck, a major tributary of the River Shannon in western Ireland.
-
C.
Senaki
Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
-
D.
Salampsio
Salampsio was a daughter of Herod the Great and Mariamne I, belonging to the Herodian royal family of Judea in the late first century BCE.
-
E.
Coruripe
Coruripe is a coastal municipality in northeastern Brazil known for its beaches, fishing activities, and sugarcane agriculture.
- 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: Ermidas-Sado Triple: [Santiago do Cacém, hasPart, Ermidas-Sado]
Generated description
Ermidas-Sado is a civil parish in the municipality of Santiago do Cacém in Portugal, known for its rural character and proximity to the Sado River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ermidas-Sado Target entity description: Ermidas-Sado is a civil parish in the municipality of Santiago do Cacém in Portugal, known for its rural character and proximity to the Sado River.
-
A.
Ráquira
Ráquira is a Colombian town renowned for its traditional pottery, colorful handicrafts, and vibrant colonial architecture.
-
B.
An Suca
An Suca is the Irish-language name for the River Suck, a major tributary of the River Shannon in western Ireland.
-
C.
Senaki
Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
-
D.
Salampsio
Salampsio was a daughter of Herod the Great and Mariamne I, belonging to the Herodian royal family of Judea in the late first century BCE.
-
E.
Coruripe
Coruripe is a coastal municipality in northeastern Brazil known for its beaches, fishing activities, and sugarcane agriculture.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6168e3d881908c58cf11cf5f9a0e |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabca74888190934593d6504fbed1 |
completed | April 3, 2026, noon |
| NEDg | Description generation | batch_69cfac9c743c8190a26f753111f07281 |
completed | April 3, 2026, 12:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfad54cf5c81908558fd4c21f2f3b6 |
completed | April 3, 2026, 12:06 p.m. |
Created at: March 30, 2026, 6:53 p.m.