Triple
T16546801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M38 carbine |
E401963
|
entity |
| Predicate | hasStockMaterial |
P1845
|
FINISHED |
| Object | wood |
—
|
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: wood | Statement: [M38 carbine, hasStockMaterial, wood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStockMaterial Context triple: [M38 carbine, hasStockMaterial, wood]
-
A.
hasMaterialResource
Indicates that an entity possesses, controls, or has access to a tangible material resource.
-
B.
hasMaterialOption
Indicates that an entity can be made from, or is available in, one or more alternative materials.
-
C.
hasMaterialType
chosen
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
D.
hasBankMaterial
Indicates that something is made of, or incorporates, a specified banking-related material or substance.
-
E.
hasStockPosition
Indicates that an entity holds a quantity of a particular stock, typically specifying ownership, size, and possibly direction (long or short) of the investment position.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fbe3fb48190bad143b50dc73c7e |
completed | April 18, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69e2969fab208190ad64164d24748c45 |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:15 a.m.