Triple
T22167079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Traces reached the US Top 10 |
E547819
|
entity |
| Predicate | typeOfSuccess |
P22603
|
FINISHED |
| Object | commercial |
—
|
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: commercial | Statement: [Traces reached the US Top 10, typeOfSuccess, commercial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSuccess Context triple: [Traces reached the US Top 10, typeOfSuccess, commercial]
-
A.
outcomeType
chosen
Indicates the specific category or nature of the result produced by an event, process, or action.
-
B.
denotesSuccess
Indicates that an action, process, or operation has achieved its intended goal or outcome successfully.
-
C.
typeOfFailure
Indicates the specific kind or category of failure that occurred in relation to an entity or process.
-
D.
typeOfVictory
Indicates the specific manner or category in which a victory was achieved.
-
E.
successorType
Indicates the specific kind or category of successor relationship that holds between one entity and the next in a sequence or hierarchy.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a3213ec8190841439dbe470d545 |
completed | April 28, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.