Triple
T35538254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monel |
E1026990
|
entity |
| Predicate | hasAlloySeries |
P108186
|
FINISHED |
| Object | Monel 400 |
—
|
NE NERFINISHED |
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: Monel 400 | Statement: [Monel, hasAlloySeries, Monel 400]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlloySeries Context triple: [Monel, hasAlloySeries, Monel 400]
-
A.
hasModelSeries
Indicates a relationship where an item or product is associated with a specific model series it belongs to.
-
B.
commonAlloyName
chosen
Indicates that one entity is the commonly used or recognized alloy name corresponding to another entity representing that alloy.
-
C.
hasVariantSeries
Indicates a relationship where one entity is a variant or alternative series derived from or associated with another series.
-
D.
hasStandardSeries
Indicates that an entity is associated with, or belongs to, a designated standard series or standardized sequence.
-
E.
formsAlloysWith
Indicates that two substances can combine to form a homogeneous metallic alloy with each other.
- 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_69f76dff7e508190b28ceeee770dce23 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
Created at: May 3, 2026, 4:04 p.m.