Triple
T11267201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crenshaw/LAX Line |
E266717
|
entity |
| Predicate | officialName |
P66
|
FINISHED |
| Object | K Line |
E81760
|
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: K Line | Statement: [Crenshaw/LAX Line, officialName, K Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K Line Context triple: [Crenshaw/LAX Line, officialName, K Line]
-
A.
K Line
chosen
K Line is a light rail route in the Los Angeles Metro Rail system serving neighborhoods in South Los Angeles and connecting to key transit hubs.
-
B.
Hapag-Lloyd Express
Hapag-Lloyd Express was a German low-cost airline that operated short-haul flights across Europe in the early 2000s before merging into TUIfly.
-
C.
Sea-Land Service, Inc.
Sea-Land Service, Inc. was a pioneering American container shipping company that played a key role in the development and commercialization of modern intermodal containerization in global trade.
-
D.
Franklin Line
The Franklin Line is a Massachusetts Bay Transportation Authority (MBTA) commuter rail line serving communities southwest of Boston.
-
E.
G Line
The G Line is a New York City Subway service that runs entirely within Brooklyn and Queens, connecting neighborhoods without entering Manhattan.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94e5e3c8190a31995d55d20d7ed |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ccd52c20819093e03bba2fd359b7 |
completed | April 19, 2026, 12:38 p.m. |
Created at: April 8, 2026, 9:31 p.m.