Triple
T16208582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huixquilucan de Degollado |
E393392
|
entity |
| Predicate | borders |
P224
|
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: [Huixquilucan de Degollado, borders, Lerma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lerma Context triple: [Huixquilucan de Degollado, borders, 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.
Aranda de Duero
Aranda de Duero is a historic town in Spain’s Castile and León region, renowned for its wine culture, underground cellars, and role as a key center in the Ribera del Duero wine area.
-
D.
L'Argentera
L'Argentera is a small municipality in the Baix Camp comarca of Catalonia, Spain, known for its rural character and scenic Mediterranean surroundings.
-
E.
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.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e22710ef2c8190a8d7b9fb1666816c |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007916d3481909d475f1661d80e77 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.