Triple
T23317655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plaza Elíptica |
E590753
|
entity |
| Predicate | locatedInDistrict |
P40
|
FINISHED |
| Object | Usera |
—
|
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: Usera | Statement: [Plaza Elíptica, locatedInDistrict, Usera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Usera Context triple: [Plaza Elíptica, locatedInDistrict, Usera]
-
A.
Usera
chosen
Usera is a district in the south of Madrid, Spain, known as a largely residential area with a diverse, working-class population.
-
B.
Ula
Ula is a character connected to the life and experiences depicted in Henry Roth’s semi-autobiographical writings.
-
C.
Ula
Ula is a small town and district in southwestern Turkey known for its traditional architecture and proximity to the coastal resorts of the Aegean region.
-
D.
Kuser
Kuser is a surname associated with an American family notable in New Jersey politics, business, and public life in the late 19th and early 20th centuries.
-
E.
Ukiel
Ukiel is a prominent lake near the city of Olsztyn in northern Poland, known for its recreational opportunities and scenic surroundings.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197828c408190ae071624e40de4cc |
completed | April 29, 2026, 5:30 a.m. |
Created at: April 17, 2026, 5:06 p.m.