Triple
T14777225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garter circlet |
E347290
|
entity |
| Predicate | orderFoundationCentury |
P1824
|
FINISHED |
| Object | 14th century |
—
|
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: 14th century | Statement: [Garter circlet, orderFoundationCentury, 14th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderFoundationCentury Context triple: [Garter circlet, orderFoundationCentury, 14th century]
-
A.
originalCentury
Indicates the century in which something was originally created, produced, or came into existence.
-
B.
latestCentury
Indicates that the associated time or event occurs in, or belongs to, the most recent century relative to a given reference point.
-
C.
emergedByCentury
Indicates that something came into existence, became prominent, or first appeared during a specified century.
-
D.
foundedInCentury
chosen
Indicates that an entity was established or came into existence during a specified century.
-
E.
odiCenturies
Indicates the number of centuries a player has scored in One Day International (ODI) cricket matches.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec817c39081909b08a0ffdfce9936 |
completed | April 14, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69de8c02e5c08190943c27594026faf7 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.