Triple
T30843639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larcum Kendall |
E785576
|
entity |
| Predicate | chronometerK2Characteristic |
P191360
|
FINISHED |
| Object | simplified and cheaper than K1 |
—
|
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: simplified and cheaper than K1 | Statement: [Larcum Kendall, chronometerK2Characteristic, simplified and cheaper than K1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronometerK2Characteristic Context triple: [Larcum Kendall, chronometerK2Characteristic, simplified and cheaper than K1]
-
A.
chronometerNumber
Indicates that an entity has been assigned a specific chronometer identification number, linking it to that unique timekeeping device record.
-
B.
chronometerK1Cost
Indicates the cost associated with a chronometer of type K1.
-
C.
clockFeature
Indicates that something has the function, characteristic, or capability of a clock (e.g., showing or measuring time).
-
D.
eraCharacteristic
Indicates that a particular quality, feature, or attribute is characteristic of, or typically associated with, a given historical or temporal era.
-
E.
motionCoprocessor
Indicates that one entity functions as a motion coprocessor, assisting another entity in handling motion-related computations or processing tasks.
- 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_69f224b850848190a4af4ccf8ddadcdf |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdf22ab8881908b257f16522920c5 |
completed | May 7, 2026, 6:51 p.m. |
Created at: April 29, 2026, 8:46 p.m.