Triple
T28700534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NHL forwards |
E729537
|
entity |
| Predicate | lineAssignment |
P102009
|
FINISHED |
| Object | first line |
—
|
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: first line | Statement: [NHL forwards, lineAssignment, first line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineAssignment Context triple: [NHL forwards, lineAssignment, first line]
-
A.
assignedToLine
chosen
Indicates that an entity (such as a task, item, or resource) is allocated or linked to a specific line (such as a production line, route, or sequence).
-
B.
lineContext
Indicates the contextual relationship between a specific line (e.g., in text, code, or dialogue) and its surrounding lines or situational setting.
-
C.
linePositioning
Indicates how one line is spatially arranged or oriented in relation to another line.
-
D.
linePositioning
Indicates the relative arrangement or alignment of elements along a line or linear sequence.
-
E.
lineConfiguration
Indicates that the entities participate together in a specific arrangement or pattern along a line.
- 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_69f043e6e9688190b6bdd6e5665498ff |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 5:42 a.m.