Triple
T30644593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edison incandescent lamps |
E780085
|
entity |
| Predicate | typicalBurnTime |
P43931
|
FINISHED |
| Object | about 40 hours in early versions |
—
|
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: about 40 hours in early versions | Statement: [Edison incandescent lamps, typicalBurnTime, about 40 hours in early versions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBurnTime Context triple: [Edison incandescent lamps, typicalBurnTime, about 40 hours in early versions]
-
A.
estimatedBurnDuration
chosen
Indicates the expected length of time that something is predicted to burn or remain burning.
-
B.
typicalDurationMinutes
Indicates the usual or expected length of time, measured in minutes, that an event, activity, or process typically lasts.
-
C.
burningSince
Indicates that an object or substance has been continuously burning from a specified starting time up to the present or another reference time.
-
D.
hasTypicalUseTime
Indicates the usual or expected duration or time period during which something is commonly used or in operation.
-
E.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
- 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:29 p.m.