Triple
T17757829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beira (Portugal) |
E443290
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Sortelha |
E1251286
|
NE FINISHED |
How this triple was built (2 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: Sortelha | Statement: [Beira (Portugal), containsTown, Sortelha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sortelha Context triple: [Beira (Portugal), containsTown, Sortelha]
-
A.
Sortelha
chosen
Sortelha is a well-preserved medieval village in central Portugal, renowned for its hilltop granite castle, fortified walls, and traditional stone houses.
-
B.
Sarreaus
Sarreaus is a municipality in the province of Ourense, in the autonomous community of Galicia in northwestern Spain.
-
C.
Lacanha
Lacanha is an ancient Maya archaeological site in the western lowlands of Chiapas, Mexico, known for its ruins, inscriptions, and role within the Classic-period Maya civilization.
-
D.
Esposende
Esposende is a coastal city and municipality in northern Portugal, known for its Atlantic beaches, natural parks, and traditional fishing heritage.
-
E.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4841fe97881908f4df503fb781763 |
completed | April 19, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02efb8d5288190802b6329fd13d5a9 |
completed | May 12, 2026, 9:15 a.m. |
Created at: April 10, 2026, 10:10 a.m.