Triple
T29910544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NameDrop |
E759667
|
entity |
| Predicate | triggerMethod |
P168702
|
FINISHED |
| Object | bringing devices close together |
—
|
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: bringing devices close together | Statement: [NameDrop, triggerMethod, bringing devices close together]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: triggerMethod Context triple: [NameDrop, triggerMethod, bringing devices close together]
-
A.
triggerEvent
Indicates that one entity causes or initiates the occurrence of a specific event involving another entity or the system.
-
B.
triggerStrategy
Indicates that one entity initiates or activates a particular strategy or plan in relation to another entity or context.
-
C.
trigger
Indicates that one entity causes or initiates an event, state, or action in another entity or system.
-
D.
triggerCondition
Indicates the specific circumstances or state under which an associated event, action, or process is initiated or activated.
-
E.
triggeredFires
Indicates that one entity caused or initiated the occurrence of one or more fires in another entity or location.
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67759bd888190b1beb2fad6058b4d |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 29, 2026, 6:10 p.m.