Triple
T8376566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buenos Aires Underground Line A |
E197590
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Loria |
E149563
|
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: Loria | Statement: [Buenos Aires Underground Line A, hasStation, Loria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loria Context triple: [Buenos Aires Underground Line A, hasStation, Loria]
-
A.
Loria
chosen
Loria is a surname most prominently associated with Jeffrey Loria, an American art dealer and former owner of Major League Baseball’s Miami Marlins.
-
B.
Lasserre
Lasserre is a small rural commune in southwestern France known for being the later-life home of the influential mathematician Alexander Grothendieck.
-
C.
Médard
Médard is a masculine French given name of Christian origin, historically associated with Saint Médard and used in various Francophone regions.
-
D.
Lorium
Lorium was an ancient Roman settlement along the Via Aurelia in Etruria, known as an imperial villa site associated with Emperor Antoninus Pius.
-
E.
Valadier
Valadier is an Italian surname most notably associated with Giuseppe Valadier, a prominent neoclassical architect and urban planner of the late 18th and early 19th centuries.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80c094908190afe9cc54ce4f4d58 |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde7f19ba08190a08cf5aea522c021 |
completed | April 2, 2026, 3:52 a.m. |
Created at: March 30, 2026, 6:01 p.m.