Triple
T15481692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reforma Avenue |
E376932
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Polanco |
E801993
|
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: Polanco | Statement: [Reforma Avenue, connects, Polanco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polanco Context triple: [Reforma Avenue, connects, Polanco]
-
A.
Polanco
Polanco is a rural municipality in the province of Zamboanga del Norte in the Philippines, known for its agricultural economy and small-town community life.
-
B.
Polanco
Polanco is a surname most notably associated with former Major League Baseball infielder Plácido Polanco.
-
C.
Polanco district
Polanco district is an upscale neighborhood in Mexico City known for its luxury shopping, high-end restaurants, cultural institutions, and affluent residential areas.
-
D.
Nuevo Polanco
Nuevo Polanco is a modern, upscale district in Mexico City known for its contemporary architecture, luxury residential and commercial developments, and major cultural and shopping centers like Museo Soumaya and Plaza Carso.
-
E.
Polanco, Mexico City
chosen
Polanco, Mexico City is an upscale neighborhood known for its luxury shopping, high-end restaurants, cultural institutions, and affluent residential areas.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8cb4388190a3b4c92c3bb4ad4f |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff365b3980819094d3ca0b7766009c |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:34 a.m.