Triple
T11926663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro Line B |
E283800
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Garibaldi / Lagunilla |
E617086
|
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: Garibaldi / Lagunilla | Statement: [Metro Line B, hasStation, Garibaldi / Lagunilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garibaldi / Lagunilla Context triple: [Metro Line B, hasStation, Garibaldi / Lagunilla]
-
A.
Garibaldi / Lagunilla
chosen
Garibaldi / Lagunilla is a Mexico City Metro station known for serving the historic Plaza Garibaldi mariachi area and the traditional Lagunilla market district.
-
B.
Garibaldi
Garibaldi is a bright orange damselfish native to the Pacific coast of North America and recognized as the state marine fish of California.
-
C.
Garibaldi
Garibaldi is a Brazilian town in the Serra Gaúcha region of Rio Grande do Sul, known for its wine production and Italian immigrant heritage.
-
D.
Teodorito
Teodorito is a Spanish diminutive form of the given name Teodoro, typically used as an affectionate or familiar nickname.
-
E.
Emiliano
Emiliano is a masculine given name of Spanish and Italian origin, derived from the Roman family name Aemilius.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e3ff308190851ce656286bc67e |
completed | April 10, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f458a576fc8190b68b27365cd53caf |
completed | May 1, 2026, 7:39 a.m. |
Created at: April 8, 2026, 9:45 p.m.