Triple
T37303723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GLOO Cannon |
E926021
|
entity |
| Predicate | canBeRecycledFor |
P198869
|
FINISHED |
| Object | raw materials |
—
|
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: raw materials | Statement: [GLOO Cannon, canBeRecycledFor, raw materials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeRecycledFor Context triple: [GLOO Cannon, canBeRecycledFor, raw materials]
-
A.
canBeRecycled
Indicates that an item or material is suitable for processing so it can be reused or converted into new products instead of being discarded as waste.
-
B.
usesRecycle
Indicates that an entity makes use of a recycling process, system, or materials as part of its actions or operations.
-
C.
recyclable
Indicates that an item or material can be collected, processed, and reused in manufacturing instead of being discarded as waste.
-
D.
recycles
Indicates that one entity processes or returns materials from another entity for reuse or recovery instead of disposal.
-
E.
hasRecyclingReceptacles
Indicates that recycling receptacles are present and available for use at or within the referenced entity.
- 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_69f76eb1bc508190924e9fa5d8acdeb3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff0e9c75208190a4423261f00b79b3 |
completed | May 9, 2026, 10:38 a.m. |
| PD | Predicate disambiguation | batch_69ff0e07f08481909c4ae322632a6bf0 |
completed | May 9, 2026, 10:35 a.m. |
| PDg | Predicate description generation | batch_69ff0e9b7acc81909a0ee66201a06877 |
completed | May 9, 2026, 10:38 a.m. |
Created at: May 3, 2026, 4:16 p.m.