Triple
T23192992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Instituto Federal do Ceará – Campus Quixadá |
E579798
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Quixadá |
—
|
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: Quixadá | Statement: [Instituto Federal do Ceará – Campus Quixadá, city, Quixadá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quixadá Context triple: [Instituto Federal do Ceará – Campus Quixadá, city, Quixadá]
-
A.
Quixadá
chosen
Quixadá is a municipality in northeastern Brazil known for its distinctive rocky monoliths and adventure tourism, particularly rock climbing and hang gliding.
-
B.
Wamego
Wamego is a small Kansas city known for its strong connection to The Wizard of Oz, including themed attractions and annual celebrations.
-
C.
Goringhaicona
The Goringhaicona were an indigenous Khoikhoi group living around Table Bay in the 17th century, known for their early and often fraught interactions with Dutch settlers at the Cape.
-
D.
Capoocan
Capoocan is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
-
E.
Atalaya
Atalaya is a neighborhood within Madrid’s Ciudad Lineal district, known primarily as a residential area.
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd971d08190a132d24094e0c37b |
completed | April 29, 2026, 4:58 a.m. |
Created at: April 17, 2026, 4:06 p.m.