Triple
T9226372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plaza Etiopía |
E221691
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Eje 4 Sur Xola |
E209832
|
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: Eje 4 Sur Xola | Statement: [Plaza Etiopía, connectedTo, Eje 4 Sur Xola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eje 4 Sur Xola Context triple: [Plaza Etiopía, connectedTo, Eje 4 Sur Xola]
-
A.
Eje 4 Xola
chosen
Eje 4 Xola is a major east–west arterial road in Mexico City that runs through several neighborhoods, including Colonia del Valle.
-
B.
Xesibe
Xesibe are a subgroup or clan of the Xhosa people in South Africa, sharing the broader Xhosa language and cultural heritage while maintaining their own distinct lineage and traditions.
-
C.
Xola
Xola is a Mexico City Metro station on Line 2 that serves the southern part of the city near the Calzada de Tlalpan corridor.
-
D.
Sincelejo
Sincelejo is a city in northern Colombia that serves as the political and economic center of the Sucre Department.
-
E.
Xanéu
Xanéu is an alternative name for the Terena language, an Arawakan language spoken by the Terena people of Brazil.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda9ecef48190b8aa0e316d07cec7 |
completed | April 1, 2026, 8:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d066521f288190a54b1199284db7a4 |
completed | April 4, 2026, 1:16 a.m. |
Created at: March 30, 2026, 7:28 p.m.