Triple
T23878219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | lanthanum |
E600124
|
entity |
| Predicate | tarnishesInAir |
P154306
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [lanthanum, tarnishesInAir, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tarnishesInAir Context triple: [lanthanum, tarnishesInAir, true]
-
A.
isCorrosionResistantInAir
Indicates that an entity maintains its integrity and does not significantly corrode when exposed to air under specified conditions.
-
B.
corrodesIn
Indicates that a substance undergoes corrosive degradation when it is in contact with a specified environment or medium.
-
C.
tinctureMetal
Indicates that a heraldic tincture (color) is applied to or associated with a metal in a coat-of-arms or similar heraldic design.
-
D.
hasTarn
Indicates that something possesses or contains a tarn, i.e., a small mountain lake or pool.
-
E.
isCorrosionResistantWhen
Indicates that an entity remains resistant to corrosion under specified conditions or circumstances.
- 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_69e295318e148190b9979d8fc02e168f |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cc032c9c81909986ae6f672c1ad1 |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:23 p.m.