Triple
T5851817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City Avenue |
E130051
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | City Line |
E147342
|
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: City Line | Statement: [City Avenue, alsoKnownAs, City Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City Line Context triple: [City Avenue, alsoKnownAs, City Line]
-
A.
City Line
chosen
City Line is a residential neighborhood in eastern Brooklyn, New York City, located near the borough’s border with Queens.
-
B.
City Line
City Line is a suburban and regional rail route serving Liverpool and surrounding areas as part of the Merseyrail and wider North West rail network.
-
C.
Southern Line
The Southern Line is a key suburban rail route in Auckland, New Zealand, connecting central Auckland with southern suburbs and towns.
-
D.
Coast Line
Coast Line was a major Southern Pacific Railroad route running along California’s Pacific coast, connecting key cities such as Los Angeles and San Francisco.
-
E.
EverLine
EverLine is an automated light rail transit line serving the city of Yongin in the Seoul Capital Area, connecting local districts to the broader Seoul Metropolitan Subway network.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035176c8c81909e24d263e4feb664 |
completed | March 22, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1b3c7d08190bada8ae35e7fa8eb |
completed | March 23, 2026, 2:13 a.m. |
Created at: March 22, 2026, 3:55 p.m.