Triple
T27343547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LI-900 silica tiles |
E684171
|
entity |
| Predicate | coatingFunction |
P162203
|
FINISHED |
| Object | protect silica substrate from moisture |
—
|
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: protect silica substrate from moisture | Statement: [LI-900 silica tiles, coatingFunction, protect silica substrate from moisture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coatingFunction Context triple: [LI-900 silica tiles, coatingFunction, protect silica substrate from moisture]
-
A.
coatingFunction
chosen
Indicates that one entity serves as a coating or covering layer that provides a specific protective or functional effect to another entity.
-
B.
coatingType
Indicates the type or kind of coating applied to or associated with an entity.
-
C.
skeletonCoating
Indicates that one entity serves as a coating, covering, or outer layer on the skeleton of another entity.
-
D.
coatAdaptation
Indicates that an entity’s coat or outer covering has changed or developed in response to environmental or functional conditions.
-
E.
colorationFunction
Indicates a relationship where an entity’s coloration serves a particular role or purpose, such as camouflage, signaling, or protection.
- 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62ba0fedc8190b63a546f7d893676 |
completed | May 2, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 11:44 a.m.