Triple
T23292020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Impressions |
E590056
|
entity |
| Predicate | sectionLength |
P266
|
FINISHED |
| Object | 16-bar A sections |
—
|
LITERAL 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: 16-bar A sections | Statement: [Impressions, sectionLength, 16-bar A sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectionLength Context triple: [Impressions, sectionLength, 16-bar A sections]
-
A.
laneLength
Indicates the length or distance of a lane in a given context.
-
B.
inningLength
Indicates the duration or number of units (e.g., outs, minutes, or pitches) that make up a single inning in a game or sporting event.
-
C.
length
chosen
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
D.
lengthInCitySection
Indicates the extent or distance of something measured within a specific section or segment of a city.
-
E.
borderSectionLength
Indicates the measured length of a specific segment of a shared border between two geographic or administrative areas.
- F. None of above.
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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cc20c08190a6a678befe1061dd |
completed | April 29, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 5:02 p.m.