Triple
T14027893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E Line (Los Angeles Metro) |
E337509
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Pico station |
E382726
|
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: Pico station | Statement: [E Line (Los Angeles Metro), hasStation, Pico station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pico station Context triple: [E Line (Los Angeles Metro), hasStation, Pico station]
-
A.
Pico station
chosen
Pico station is a Los Angeles Metro Rail station in downtown Los Angeles serving the area near the Crypto.com Arena and LA Live entertainment complex.
-
B.
Limache station
Limache station is a key terminal railway station in the city of Limache, Chile, serving as an important hub on the Valparaíso region’s commuter rail network.
-
C.
Piedras station
Piedras station is a stop on Buenos Aires’ historic Line A subway, serving the central Monserrat area near the city’s Plaza de Mayo.
-
D.
Mirador station
Mirador station is a stop on Santiago, Chile’s Metro system, serving passengers on Line 5 in the city’s urban transit network.
-
E.
La Aurora station
La Aurora station is a terminal stop on Medellín’s mass transit system, serving as an endpoint for one of the Metro de Medellín lines.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa830ac81908cb7df7c9e81e42a |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc333b7a08190b4f121fef69f7513 |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:20 p.m.