Triple
T23996423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lutetium |
E605199
|
entity |
| Predicate | isStableInAir |
P154558
|
FINISHED |
| Object | slowly tarnishes in air |
—
|
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: slowly tarnishes in air | Statement: [Lutetium, isStableInAir, slowly tarnishes in air]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isStableInAir Context triple: [Lutetium, isStableInAir, slowly tarnishes in air]
-
A.
isAirborne
Indicates that an entity is currently off the ground and moving or positioned through the air.
-
B.
isAerial
Indicates that one entity operates or exists in the air relative to another entity or context.
-
C.
hasAerial
Indicates that an entity is equipped with or possesses an aerial or antenna component.
-
D.
isStable
Indicates that the state, condition, or configuration of an entity does not change significantly over time or under expected variations in its environment.
-
E.
isAirworthy
Indicates that an aircraft or flying object meets the necessary safety and operational standards to be considered fit for flight.
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38f8a208190a293c64b9c9202c0 |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e35944c8190b57cfa31f1e9da1b |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 9:38 p.m.