Triple
T17794463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viaducto |
E444252
|
entity |
| Predicate | adjacentStationOnLine2 |
P81819
|
FINISHED |
| Object | Xola |
—
|
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: Xola | Statement: [Viaducto, adjacentStationOnLine2, Xola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xola Context triple: [Viaducto, adjacentStationOnLine2, Xola]
-
A.
Xola
chosen
Xola is a Mexico City Metro station on Line 2 that serves the southern part of the city near the Calzada de Tlalpan corridor.
-
B.
Lisala
Lisala is a town in northwestern Democratic Republic of the Congo, situated on the Congo River and serving as the capital of Mongala Province.
-
C.
Obalende
Obalende is a densely populated neighborhood on Lagos Island in Lagos, Nigeria, known as a major transport hub and gateway to central Lagos.
-
D.
Gcaleka
Gcaleka is a prominent royal clan of the Xhosa people, historically associated with leadership and the Gcaleka sub-group in the Eastern Cape region of South Africa.
-
E.
Moyo
Moyo is a dialect of the Madi language spoken by the Madi people of Central Africa, particularly in parts of South Sudan and Uganda.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48799f9608190bc97264c849278a0 |
completed | April 19, 2026, 7:43 a.m. |
Created at: April 10, 2026, 10:13 a.m.