Triple
T31491805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debre Libanos, Ethiopia |
E803425
|
entity |
| Predicate | hasPilgrimAccommodation |
P169715
|
FINISHED |
| Object | guest houses for pilgrims |
—
|
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: guest houses for pilgrims | Statement: [Debre Libanos, Ethiopia, hasPilgrimAccommodation, guest houses for pilgrims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPilgrimAccommodation Context triple: [Debre Libanos, Ethiopia, hasPilgrimAccommodation, guest houses for pilgrims]
-
A.
hasPilgrimsLodgingNearby
chosen
Indicates that there is lodging available in close proximity for pilgrims associated with the referenced entity.
-
B.
hasAccommodation
Indicates that an entity provides, owns, or is associated with a place for someone to stay or live.
-
C.
hasPilgrims
Indicates that an entity is associated with or contains pilgrims, typically as visitors, members, or participants in a pilgrimage.
-
D.
hasDayLodge
Indicates that a location or facility includes or is associated with a day-use lodge building or area.
-
E.
hasLodgeType
Indicates that an entity is associated with or classified by a particular type or category of lodge.
- 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b21e7e088190832a3db585daea1c |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 30, 2026, 9:38 p.m.