Triple
T33404611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jupiter's Claim |
E855403
|
entity |
| Predicate | hasPropFeature |
P182
|
FINISHED |
| Object | fake storefronts |
—
|
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: fake storefronts | Statement: [Jupiter's Claim, hasPropFeature, fake storefronts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPropFeature Context triple: [Jupiter's Claim, hasPropFeature, fake storefronts]
-
A.
haveProperty
Indicates that an entity possesses, exhibits, or is characterized by a particular property or attribute.
-
B.
hasPropertyT
Indicates that an entity possesses or is characterized by a specific property T.
-
C.
hasFeature
chosen
Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
-
D.
usesProp
Indicates that one entity employs, utilizes, or makes use of a particular property, resource, or object in performing an action or fulfilling a function.
-
E.
hasFeatureCode
Indicates that an entity is associated with a specific feature identifier or code that characterizes one of its properties or attributes.
- 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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0191d96dc88190ac0823e534f9d704 |
completed | May 11, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_6a01908110448190a46442ffe4d15f5f |
completed | May 11, 2026, 8:17 a.m. |
Created at: May 1, 2026, 1:36 a.m.