Triple
T22055521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ribatejo |
E544999
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Chamusca |
—
|
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: Chamusca | Statement: [Ribatejo, majorCity, Chamusca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chamusca Context triple: [Ribatejo, majorCity, Chamusca]
-
A.
Chamusca
chosen
Chamusca is a small municipality in central Portugal known for its agricultural landscape and location along the Tagus River.
-
B.
Caporales
Caporales is a vibrant Bolivian folkloric dance characterized by energetic steps, elaborate costumes, and strong rhythmic accompaniment, often performed during religious and cultural festivals.
-
C.
Vieja mesa
"Vieja mesa" is a song featured on the album "Todo a su tiempo."
-
D.
Cascarrafa
Cascarrafa is a picturesque, water-themed city in the Paldea region of the Pokémon world, known for its cascading waterfalls, tiered layout, and bustling marketplace.
-
E.
Chámeza
Chámeza is a small rural municipality located in the Casanare Department of eastern Colombia, known for its agricultural activities and foothill landscapes of the Eastern Andes.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285790948190b21abfb09abbb5e5 |
completed | April 28, 2026, 9:36 p.m. |
Created at: April 16, 2026, 8:26 p.m.