Triple
T9271231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Friars Minor Capuchin |
E222832
|
entity |
| Predicate | hasHabitFeature |
P274
|
FINISHED |
| Object | brown habit |
—
|
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: brown habit | Statement: [Order of Friars Minor Capuchin, hasHabitFeature, brown habit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHabitFeature Context triple: [Order of Friars Minor Capuchin, hasHabitFeature, brown habit]
-
A.
hasHabit
Indicates that an entity regularly performs, practices, or exhibits a particular behavior or routine.
-
B.
hasHouseholdFeature
Indicates that a household possesses or includes a specific feature, attribute, or amenity.
-
C.
hasExerciseFeatures
Indicates that something possesses specific characteristics, attributes, or properties related to exercise or physical activity.
-
D.
hasHomeFeature
Indicates that a home possesses or includes a particular feature or amenity.
-
E.
hasCharacteristic
chosen
Indicates that an entity possesses, exhibits, or is defined by a particular attribute, feature, or quality.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07865790819099b3865a25dae58a |
completed | April 1, 2026, 11:54 a.m. |
| PD | Predicate disambiguation | batch_69cc7a537bbc8190baee71f556e52a7b |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:33 p.m.