Triple
T15614169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Composition H6 |
E375369
|
entity |
| Predicate | hasFillingType |
P119434
|
FINISHED |
| Object | cast filling |
—
|
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: cast filling | Statement: [Composition H6, hasFillingType, cast filling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFillingType Context triple: [Composition H6, hasFillingType, cast filling]
-
A.
hasFillingSystem
Indicates that an entity is equipped with or uses a particular filling system or mechanism.
-
B.
isTypicallyFilledWith
Indicates that one entity is commonly or usually occupied, loaded, or contained by another entity.
-
C.
mayBeFilledBy
Indicates that one entity has the potential or permission to be occupied, completed, or satisfied by another entity.
-
D.
isFilledPastry
Indicates that one item is a pastry whose interior is filled with another substance, such as cream, fruit, or other fillings.
-
E.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e83407c8190abbcd4b7fab0ff85 |
completed | April 16, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69deda844af081909e658ebc9d9b403d |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:13 a.m.