Triple
T3926148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A River Ain’t Too Much to Love |
E93280
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Running the Loping |
E313305
|
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: Running the Loping | Statement: [A River Ain’t Too Much to Love, hasTrack, Running the Loping]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Running the Loping Context triple: [A River Ain’t Too Much to Love, hasTrack, Running the Loping]
-
A.
Running the Loping
chosen
"Running the Loping" is a song by Smog (Bill Callahan) from his 2005 indie folk album *A River Ain't Too Much to Love*.
-
B.
Loop 101
Loop 101 is a major freeway encircling much of the Phoenix metropolitan area, connecting numerous suburbs and serving as a key route for regional traffic.
-
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.
RUN
RUN is the National Rail station code assigned to Runcorn railway station in Cheshire, England.
-
E.
LOPSTR
LOPSTR is an international symposium focused on logic-based program development and transformation, bringing together research on program synthesis, analysis, verification, and related areas.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeed80a1e48190aa39748b9db42701 |
completed | March 9, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52878184c8190980af506bb03d5db |
completed | March 14, 2026, 9:20 a.m. |
Created at: March 9, 2026, 3:23 p.m.