Triple
T19090443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Number Six |
E467266
|
entity |
| Predicate | hasModelNumber |
P8607
|
FINISHED |
| Object | Six |
—
|
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: Six | Statement: [Number Six, hasModelNumber, Six]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModelNumber Context triple: [Number Six, hasModelNumber, Six]
-
A.
hasModelNumberPattern
Indicates that an entity’s model number follows or matches a specified pattern or format.
-
B.
modelNumber
chosen
Indicates that one entity is the specific model identifier or code assigned to another entity (such as a product or device).
-
C.
hasPartNumber
Indicates that one entity is assigned or associated with a specific part number used to identify it within a catalog, system, or inventory.
-
D.
hasModelSeries
Indicates a relationship where an item or product is associated with a specific model series it belongs to.
-
E.
hasPlatformNumber
Indicates that a location or service is associated with a specific platform identified by a platform number.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34a589c8190b5171fab45bf2204 |
completed | April 20, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.