Triple
T19122455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Amnye Machen |
E468081
|
entity |
| Predicate | pilgrimageDurationOnFoot |
P121959
|
FINISHED |
| Object | about 7–10 days |
—
|
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: about 7–10 days | Statement: [Mount Amnye Machen, pilgrimageDurationOnFoot, about 7–10 days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilgrimageDurationOnFoot Context triple: [Mount Amnye Machen, pilgrimageDurationOnFoot, about 7–10 days]
-
A.
hasPilgrimageDuration
chosen
Indicates the length of time associated with completing a particular pilgrimage.
-
B.
isClimbedBarefootBySomePilgrims
Indicates that some pilgrims climb the referenced entity without wearing any footwear.
-
C.
dayOfTrek
Indicates the specific day or stage within a multi-day trek on which an event, action, or condition occurs.
-
D.
trekDurationApprox
Indicates an approximate length of time that the trek is expected to take.
-
E.
pilgrimFootfall
Indicates the occurrence or trace of a pilgrim’s steps or movement along a path or at a specific place.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3c9dfcc819090f8424608892cb3 |
completed | April 20, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b085288190b974d649e12e0844 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:05 p.m.