Triple
T3449644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dzyarzhynskaya Hara |
E72761
|
entity |
| Predicate | hasSummitMarker |
P48886
|
FINISHED |
| Object | trig point |
—
|
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: trig point | Statement: [Dzyarzhynskaya Hara, hasSummitMarker, trig point]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSummitMarker Context triple: [Dzyarzhynskaya Hara, hasSummitMarker, trig point]
-
A.
hasSummit
Indicates that one entity possesses, features, or includes a summit or highest point as part of its structure or characteristics.
-
B.
hasSummitFeature
Indicates that a summit (or peak) possesses a particular characteristic, attribute, or notable feature.
-
C.
hasSummitTrail
Indicates that there exists a trail or route leading to the summit or highest point of a geographic feature.
-
D.
hasSummitCross
Indicates that a mountain or peak is topped by a summit cross installed at or near its highest point.
-
E.
hasSummitCoordinates
Indicates that an entity has specific geographic coordinates identifying the location of its summit.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba71f4a4819089d08b871cc9b16f |
completed | March 8, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69adae0255b48190a9069f7871c7a012 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb1ecb02881908394f197e31431b4 |
completed | March 8, 2026, 5:29 p.m. |
Created at: March 8, 2026, 3:16 p.m.