Triple
T21098609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tecolotes de los Dos Laredos |
E519833
|
entity |
| Predicate | division |
P889
|
FINISHED |
| Object | Zona Norte |
—
|
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: Zona Norte | Statement: [Tecolotes de los Dos Laredos, division, Zona Norte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zona Norte Context triple: [Tecolotes de los Dos Laredos, division, Zona Norte]
-
A.
Zona Norte
chosen
Zona Norte is a regional conference within Mexico's professional basketball league system that includes teams such as Soles de Mexicali.
-
B.
Centro Sur
Centro Sur is a province in mainland Equatorial Guinea, known for its inland location and administrative role within the Río Muni region.
-
C.
Zona Franca
Zona Franca is an industrial and logistics district in Barcelona known for its large free-trade zone, warehouses, and transport infrastructure.
-
D.
Zona Rosa
Zona Rosa is a lively commercial and nightlife district in Mexico City known for its shopping, restaurants, bars, and LGBTQ+ scene.
-
E.
Zona Rosa
Zona Rosa is a popular nightlife and upscale shopping district in Bogotá, Colombia, known for its bars, restaurants, boutiques, and vibrant urban atmosphere.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5b51608190aa286d89a9d54e9f |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:52 p.m.