Triple
T18308792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tres de Febrero |
E438559
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Morón |
—
|
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: Morón | Statement: [Tres de Febrero, borders, Morón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morón Context triple: [Tres de Febrero, borders, Morón]
-
A.
Morón
chosen
Morón is a city in the western part of the Greater Buenos Aires metropolitan area in Argentina, known as an important residential and commercial hub.
-
B.
Morón city
Morón city is an urban center in central Cuba known historically for its sugar industry and as a gateway to nearby northern cays and beach resorts.
-
C.
Vicente López
Vicente López is a suburban partido (district) in the northern Greater Buenos Aires area of Argentina, known for its residential neighborhoods and riverside parks along the Río de la Plata.
-
D.
San Nicolás
San Nicolás is a central Buenos Aires neighborhood known as a major commercial and cultural hub that includes landmarks like the Obelisco and the city’s main theater district.
-
E.
San Nicolás
San Nicolás is a small settlement located within the Chilecito Department in La Rioja Province, Argentina.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021709f88190a8047dd57edc2029 |
completed | April 19, 2026, 4:25 p.m. |
Created at: April 10, 2026, 10:35 a.m.