Triple
T14387867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fahrenheit |
E356770
|
entity |
| Predicate | usedAlongside |
P4791
|
FINISHED |
| Object | Kelvin |
E167630
|
NE 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: Kelvin | Statement: [Fahrenheit, usedAlongside, Kelvin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kelvin Context triple: [Fahrenheit, usedAlongside, Kelvin]
-
A.
kelvin
chosen
Kelvin is the SI base unit of thermodynamic temperature, used to measure absolute temperature from absolute zero upward.
-
B.
Rankine
Rankine is a surname most notably associated with Claudia Rankine, the acclaimed poet, playwright, and essayist known for her explorations of race and identity.
-
C.
Celsius
Celsius is a temperature scale used worldwide in science and daily life, defined by 0° as the freezing point and 100° as the boiling point of water at standard atmospheric pressure.
-
D.
Lowther
Lowther is a small village and civil parish in Cumbria, England, known for its historic Lowther Castle and scenic setting near the River Lowther.
-
E.
Kühtai
Kühtai is a high-altitude ski resort village in the Austrian Alps known for its winter sports facilities and reliable snow conditions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90283b9c8190b50d30ad58bfe085 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd551623608190ba1de09b423cc5e1 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:16 a.m.