Triple
T9118803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 3 (Mexico City Metro) |
E218789
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Balderas |
E251432
|
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: Balderas | Statement: [Line 3 (Mexico City Metro), hasStation, Balderas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balderas Context triple: [Line 3 (Mexico City Metro), hasStation, Balderas]
-
A.
Balderas
chosen
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
-
B.
Carbajal
Carbajal is a Spanish surname historically associated with figures such as Garcí Manuel de Carbajal, a notable colonial-era official.
-
C.
Garza
Garza is a Spanish-language surname of Basque origin that is common in Mexico and among people of Hispanic heritage.
-
D.
Carrillo
Carrillo is a Spanish-origin surname borne by numerous notable individuals across the Spanish-speaking world and beyond.
-
E.
Alvarito
Alvarito is a Spanish diminutive form of the given name Álvaro, typically used as an affectionate nickname.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a7c6d48190a015efd17a017ca1 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05bf328e8819098be6d42c04a8944 |
completed | April 4, 2026, 12:31 a.m. |
Created at: March 30, 2026, 7:17 p.m.