Triple
T2410600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KCMG |
E50378
|
entity |
| Predicate | typeOfOrder |
P11873
|
FINISHED |
| Object | order of chivalry |
—
|
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: order of chivalry | Statement: [KCMG, typeOfOrder, order of chivalry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfOrder Context triple: [KCMG, typeOfOrder, order of chivalry]
-
A.
orderType
Indicates the specific category or classification of an order, such as its purpose, channel, or processing method.
-
B.
offeringType
Indicates the category or nature of what is being offered in a transaction or interaction (e.g., product, service, or other type of offering).
-
C.
orderClass
chosen
Indicates that one entity is classified into a particular order or category within a hierarchical or taxonomic system.
-
D.
deliveryType
Indicates the method or mode by which a product, service, or item is delivered or fulfilled.
-
E.
orderFoundedBy
Indicates that a particular order or organization was established or created by a specific person or entity.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abceab9ce881909ae0a2f34515c11e |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5a530e8819094105aa92dfaf6b3 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:58 p.m.