Triple
T17087737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lousã |
E414642
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Talasnal |
E1166850
|
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: Talasnal | Statement: [Lousã, hasVillage, Talasnal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talasnal Context triple: [Lousã, hasVillage, Talasnal]
-
A.
Talasnal
chosen
Talasnal is a restored schist mountain village in central Portugal known for its traditional stone houses, scenic forest setting, and rural tourism.
-
B.
Talauma
Talauma is a genus of flowering plants in the magnolia family, known for its large, often fragrant blossoms and tropical to subtropical distribution.
-
C.
Talas
Talas is a district and rapidly growing residential area of the central Anatolian city of Kayseri in Turkey.
-
D.
Talne
Talne is a small city in central Ukraine known for its historical architecture and location within Cherkasy Oblast.
-
E.
Talho
Talho is a settlement located within the municipality of Ribeira Brava in Cape Verde.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe92e488190b947287a968086d5 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ee81fd08190a7e1f5958fbe3b97 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.