Triple
T38108958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mangho Pir |
E951601
|
entity |
| Predicate | hasFeatureAtShrine |
P27591
|
FINISHED |
| Object | natural hot springs |
—
|
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: natural hot springs | Statement: [Mangho Pir, hasFeatureAtShrine, natural hot springs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFeatureAtShrine Context triple: [Mangho Pir, hasFeatureAtShrine, natural hot springs]
-
A.
containsShrine
Indicates that one entity includes or has within its boundaries a shrine associated with it.
-
B.
hasNearbyShrine
Indicates that one entity is located close to or in the vicinity of a shrine associated with another entity.
-
C.
hasShrinesIn
Indicates that one entity possesses or maintains shrines that are located within the area or domain of another entity.
-
D.
typicalShrineFeature
chosen
Indicates that something is a characteristic or commonly found element of a shrine.
-
E.
hasShrines
Indicates that one entity contains, hosts, or is associated with one or more shrines dedicated to another entity.
- 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_69f76f065ed08190bdfb1b6d817f5b39 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: May 3, 2026, 4:21 p.m.