Triple
T37946686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linji Monastery |
E946624
|
entity |
| Predicate | principalMonasteryOf |
P189949
|
FINISHED |
| Object | Linji Yixuan |
—
|
NE NERFINISHED |
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: Linji Yixuan | Statement: [Linji Monastery, principalMonasteryOf, Linji Yixuan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: principalMonasteryOf Context triple: [Linji Monastery, principalMonasteryOf, Linji Yixuan]
-
A.
mainMonasteryLocation
Indicates the place where a religious order’s primary or central monastery is situated.
-
B.
mainMonasteryCountry
Indicates the country in which a monastery’s primary or main location is situated.
-
C.
monasteryDedicatedTo
Indicates that a monastery is formally devoted or consecrated to a particular deity, saint, religious figure, or sacred concept.
-
D.
importantMonastery
Indicates that a monastery holds significant religious, historical, or cultural importance relative to others.
-
E.
containsMonastery
Indicates that one entity includes or encompasses a monastery within its boundaries or composition.
- 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_69f76ef64cf08190ad3e1114b62aac67 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fc4747b06c8190a3ea5331f02eedad |
completed | May 7, 2026, 8:03 a.m. |
Created at: May 3, 2026, 4:20 p.m.