Triple
T16270125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Médio Tejo Intermunicipal Community |
E394976
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Sardoal |
E374171
|
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: Sardoal | Statement: [Médio Tejo Intermunicipal Community, containsMunicipality, Sardoal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sardoal Context triple: [Médio Tejo Intermunicipal Community, containsMunicipality, Sardoal]
-
A.
Sardoal
chosen
Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
-
B.
Baraolt
Baraolt is a small town in central Romania, located in Covasna County within the historical region of Transylvania.
-
C.
Sorauren
Sorauren is a village in northern Spain, near Pamplona in Navarre, known as a historic battlefield site from the Peninsular War.
-
D.
Sarreaus
Sarreaus is a municipality in the province of Ourense, in the autonomous community of Galicia in northwestern Spain.
-
E.
Saravena
Saravena is a Colombian town and municipality located in the northeastern oil-producing and conflict-affected region near the border with Venezuela.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24608dd20819082f46a64af233038 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f90d4088190915d701978f018a5 |
completed | May 10, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:05 a.m.