Triple
T2393933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mendelevium |
E47604
|
entity |
| Predicate | meltingPointKelvin |
P19716
|
FINISHED |
| Object | 1100 |
—
|
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: 1100 | Statement: [mendelevium, meltingPointKelvin, 1100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meltingPointKelvin Context triple: [mendelevium, meltingPointKelvin, 1100]
-
A.
meltingPoint
chosen
Indicates the temperature at which a substance changes from solid to liquid under specified conditions.
-
B.
boilingPoint
Indicates the temperature at which a substance changes from liquid to gas under specified pressure conditions.
-
C.
materialMelted
Indicates that a material has undergone melting, transitioning from a solid to a liquid state.
-
D.
maxSurfaceTemperature
Indicates the highest temperature that the surface of an entity can reach or sustain under specified conditions.
-
E.
thermalConductivity
Indicates how effectively heat is conducted through a material per unit temperature gradient.
- 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc87827d88190bb2351a688e6de32 |
completed | March 7, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69abc5a1b5748190b4cd8989700f4dd2 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.