Triple
T10072438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toluca International Airport |
E213661
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Lerma |
E90176
|
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: Lerma | Statement: [Toluca International Airport, locatedNear, Lerma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lerma Context triple: [Toluca International Airport, locatedNear, Lerma]
-
A.
Lerma
chosen
Lerma is a municipality in the State of Mexico, west of Mexico City, known for its industrial zones, residential developments, and proximity to major transportation routes.
-
B.
Soto del Henares
Soto del Henares is a protected natural area along the Jarama River in central Spain, known for its riparian ecosystems and local biodiversity.
-
C.
Lerma River
The Lerma River is one of central Mexico’s most important rivers, serving as a major water source for agriculture, industry, and urban areas across several states.
-
D.
Río Trévélez
Río Trévélez is a mountain river in Spain’s Alpujarra region of the Sierra Nevada, known for flowing through the high-altitude village of Trévélez.
-
E.
Valle del Lozoya
Valle del Lozoya is a scenic highland valley in central Spain known for its rivers, forests, and traditional mountain villages within the Sierra de Guadarrama.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd013c9d0819091ebe6fc399832de |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b649b7488190ad765d4ee6eac5d7 |
completed | April 5, 2026, 7:21 p.m. |
Created at: March 30, 2026, 8:59 p.m.