Triple
T7233404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico City Metro Line 1 |
E154957
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Juanacatlán |
E248670
|
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: Juanacatlán | Statement: [Mexico City Metro Line 1, hasStation, Juanacatlán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juanacatlán Context triple: [Mexico City Metro Line 1, hasStation, Juanacatlán]
-
A.
Juanacatlán
Juanacatlán is a municipality in the state of Jalisco, Mexico, known for its proximity to the Santiago River and the Juanacatlán Falls.
-
B.
Juanacatlán
chosen
Juanacatlán is a Mexico City Metro station on Line 1, located near the Condesa and San Miguel Chapultepec neighborhoods.
-
C.
Tepatitlán de Morelos
Tepatitlán de Morelos is a prominent city in Mexico known for its agricultural production, religious traditions, and vibrant regional culture.
-
D.
San Cristóbal Texcalucan
San Cristóbal Texcalucan is a locality within the municipality of Huixquilucan in the State of Mexico, Mexico.
-
E.
Tulancingo
Tulancingo is a historic city in central Mexico known for its colonial architecture, regional commerce, and cultural traditions within the state of Hidalgo.
- 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea11b03c81909702ad2e0c29758a |
completed | March 27, 2026, 8:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81eaf59988190a656dae4e588c496 |
completed | March 28, 2026, 6:32 p.m. |
Created at: March 27, 2026, 2:55 p.m.