Triple
T11716743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerdanya |
E278517
|
entity |
| Predicate | majorTown |
P316
|
FINISHED |
| Object | Font-Romeu |
E923729
|
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: Font-Romeu | Statement: [Cerdanya, majorTown, Font-Romeu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Font-Romeu Context triple: [Cerdanya, majorTown, Font-Romeu]
-
A.
Font-Romeu
chosen
Font-Romeu is a mountain resort town in the French Pyrenees known for its ski facilities, sunny climate, and high-altitude sports training center.
-
B.
Rivas Futura
Rivas Futura is a Madrid Metro station serving the Rivas-Vaciamadrid area on the outskirts of Spain’s capital.
-
C.
Font-rubí
Font-rubí is a small municipality in the Alt Penedès comarca of Catalonia, Spain, known for its rural landscape and wine-growing traditions.
-
D.
Font Boulevard
Font Boulevard is a major residential street in San Francisco’s Parkmerced neighborhood, lined with apartment buildings and serving as one of the area’s primary internal thoroughfares.
-
E.
Fira
Fira is a picturesque town on the Greek island of Santorini, known for its whitewashed buildings, cliffside views over the caldera, and vibrant tourism scene.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c10d988190842acd824135cf15 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83a9479c81909cbe63d81255a1bf |
completed | April 27, 2026, 3:41 p.m. |
Created at: April 8, 2026, 9:40 p.m.