Triple
T3715933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Line (Los Angeles Metro) |
E81529
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Norwalk |
E127638
|
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: Norwalk | Statement: [Green Line (Los Angeles Metro), connectsTo, Norwalk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norwalk Context triple: [Green Line (Los Angeles Metro), connectsTo, Norwalk]
-
A.
Norwalk
chosen
Norwalk is a suburban city in southeastern Los Angeles County, California, known as a residential community and transit hub near the eastern terminus of the Metro C Line.
-
B.
Norwalk
Norwalk is a coastal city in southwestern Connecticut known for its maritime heritage, harbor, and proximity to Long Island Sound.
-
C.
West Haven
West Haven is a coastal city in southern Connecticut known for its public beaches and shoreline along Long Island Sound.
-
D.
Westport
Westport is a historic neighborhood and entertainment district in Kansas City, Missouri, known for its 19th-century roots, nightlife, and preserved architecture.
-
E.
Westport
Westport is a small coastal town on the West Coast of New Zealand’s South Island, known historically for coal mining and its proximity to rugged natural landscapes.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9cf77dc819098979094172d82d1 |
completed | March 8, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53367ad5c81909f7bcbbc967514b7 |
completed | March 14, 2026, 10:07 a.m. |
Created at: March 8, 2026, 3:33 p.m.