Triple
T23944630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Post-it Notes |
E602880
|
entity |
| Predicate | hasAdhesiveProperty |
P81140
|
FINISHED |
| Object | low tack |
—
|
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: low tack | Statement: [Post-it Notes, hasAdhesiveProperty, low tack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdhesiveProperty Context triple: [Post-it Notes, hasAdhesiveProperty, low tack]
-
A.
isThickenedWith
Indicates that one substance has been made more viscous or dense by adding another substance that serves as a thickening agent.
-
B.
hasHolderCharacteristic
Indicates that a holder (such as an owner, container, or bearer) possesses or exhibits a particular characteristic or attribute.
-
C.
coatingType
chosen
Indicates the type or kind of coating applied to or associated with an entity.
-
D.
hasLacing
Indicates a relationship where one entity is fastened, joined, or secured to another using laces or a lacing mechanism.
-
E.
hasRidges
Indicates that one entity possesses raised, linear or patterned ridges on its surface or structure in relation to another entity or context.
- 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d02d07b08190acbcbb646cd9a58e |
completed | April 29, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:11 p.m.