Triple
T1044484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra de las Cruces |
E22544
|
entity |
| Predicate | nearbyCity |
P350
|
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: [Sierra de las Cruces, nearbyCity, Lerma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lerma Context triple: [Sierra de las Cruces, nearbyCity, 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.
Río Almendares
Río Almendares is a major river in Havana, Cuba, known for flowing through the city and forming part of its western boundary before reaching the coast.
-
C.
Cieneguilla
Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
-
D.
Henares River
The Henares River is a tributary of the Jarama in central Spain that flows through Castilla–La Mancha and the Community of Madrid, historically supporting towns such as Alcalá de Henares.
-
E.
Cañete
Cañete is a coastal province and agricultural hub in central Peru, known for its fertile valleys, Afro-Peruvian cultural heritage, and production of crops like grapes and cotton.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b84937688190a5899af2104002df |
completed | March 1, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c18692c819092e1045199053a39 |
completed | March 7, 2026, 4:02 p.m. |
Created at: March 1, 2026, 7:42 p.m.