Triple
T13087051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of the Imitation of Christ |
E310362
|
entity |
| Predicate | usesTitleForHouses |
P107976
|
FINISHED |
| Object | Ashram |
—
|
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: Ashram | Statement: [Order of the Imitation of Christ, usesTitleForHouses, Ashram]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTitleForHouses Context triple: [Order of the Imitation of Christ, usesTitleForHouses, Ashram]
-
A.
usesTitle
Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
-
B.
titleHolderHouse
Indicates that a particular house or noble family holds or is associated with a specific title.
-
C.
usedTitleIn
Indicates that one entity employed or referenced another entity as a title in some context.
-
D.
usesHouseName
Indicates that an entity refers to or identifies a house by a specific house name rather than (or in addition to) other identifiers such as a number or address.
-
E.
usedAsTitleInFull
Indicates that something functions as a formal title within the complete, official version of a name or designation.
- F. None of above. chosen
Provenance (4 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d981378dd08190b4f00e4e5df0e480 |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d9803f6c508190bfadfbc2d00c2c64 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98114a6508190b1e8e018bb5a068c |
completed | April 10, 2026, 11 p.m. |
Created at: April 9, 2026, 9:02 p.m.