Triple
T6205955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Street |
E138746
|
entity |
| Predicate | runsThrough |
P416
|
FINISHED |
| Object | the Loop |
E105103
|
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: the Loop | Statement: [Lake Street, runsThrough, the Loop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Loop Context triple: [Lake Street, runsThrough, the Loop]
-
A.
In the Loop
In the Loop is a 2009 British political satire film, spun off from the TV series "The Thick of It," that lampoons government spin and the lead-up to war.
-
B.
10 Loop
10 Loop is a highway loop around Athens, Georgia, that forms part of Georgia State Route 10 and serves as a major local bypass.
-
C.
A Loop
A Loop is a modern streetcar route in Portland, Oregon, that provides circulator service through the central city and adjacent neighborhoods as part of the Portland Streetcar system.
-
D.
Loop (Chicago)
chosen
Loop (Chicago) is the central downtown business district of Chicago, known for its dense concentration of offices, theaters, shopping, and its iconic elevated "L" train tracks.
-
E.
B Loop
B Loop is one of the main routes of the Portland Streetcar system, providing modern streetcar service through key neighborhoods in Portland, Oregon.
- 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0626f85748190a94448117a85fd78 |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f47b04c81909bfe20305911f5f2 |
completed | March 23, 2026, 4:50 p.m. |
Created at: March 22, 2026, 4:20 p.m.