Triple
T22606640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matarraña comarca |
E566578
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Lledó |
—
|
NE NERFINISHED |
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: Lledó | Statement: [Matarraña comarca, containsSettlement, Lledó]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lledó Context triple: [Matarraña comarca, containsSettlement, Lledó]
-
A.
Lledó
chosen
Lledó is a small rural village in the Matarranya comarca of eastern Aragon, Spain, known for its traditional architecture and scenic natural surroundings.
-
B.
Lanin
Lanín is a prominent stratovolcano in the Andes on the border between Argentina and Chile, known for its conical snow-capped peak and popularity among climbers.
-
C.
Llausha
Llausha is a village in the municipality of Skenderaj in central Kosovo.
-
D.
Tredòs
Tredòs is a small village in the Val d'Aran region of Catalonia, Spain, known for its traditional Pyrenean architecture and proximity to the Baqueira-Beret ski resort.
-
E.
Moianès
Moianès is a comarca (county) in central Catalonia, Spain, known for its rural landscapes, small historic towns, and karstic plateau terrain.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1627172488190beb87df965498bcc |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:54 p.m.