Triple
T5923596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dart VM |
E131751
|
entity |
| Predicate | firstPartyStatus |
P66726
|
FINISHED |
| Object | official Dart runtime from Google |
—
|
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: official Dart runtime from Google | Statement: [Dart VM, firstPartyStatus, official Dart runtime from Google]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPartyStatus Context triple: [Dart VM, firstPartyStatus, official Dart runtime from Google]
-
A.
primaryStatus
Indicates the main or most important status assigned to an entity among potentially multiple statuses.
-
B.
firstToAuthorize
Indicates that one entity is the earliest or initial party to grant approval, permission, or authorization for a particular action or arrangement relative to others.
-
C.
principalState
Indicates that an entity serves as the primary or main state associated with another entity or context.
-
D.
firstTimeParticipation
Indicates that an entity is taking part in a specified event, activity, or context for the very first time.
-
E.
memberStateSide1
Indicates that an entity participates as the first member state (or party) on one side of a bilateral or multilateral relationship or agreement.
- F. None of above. chosen
Provenance (4 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03c8d579081909d7b97fc9014b5d7 |
completed | March 22, 2026, 7:01 p.m. |
Created at: March 22, 2026, 4 p.m.