Triple
T18426269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Lake (Crno jezero) |
E450146
|
entity |
| Predicate | hasShoreTrail |
P76775
|
FINISHED |
| Object | circular walking path |
—
|
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: circular walking path | Statement: [Black Lake (Crno jezero), hasShoreTrail, circular walking path]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShoreTrail Context triple: [Black Lake (Crno jezero), hasShoreTrail, circular walking path]
-
A.
hasShorelineTrail
chosen
Indicates that a location or body of water is connected to or bordered by a trail that runs along its shoreline.
-
B.
hasShoreOn
Indicates that one geographic entity borders or is directly adjacent to the shore of another body of water.
-
C.
hasShoreFeature
Indicates that a shore or coastline possesses a specific physical or environmental feature.
-
D.
isCoastalTrail
Indicates that a trail is located along or near a coastline, typically following or closely paralleling the shore.
-
E.
hasShoreLengthOn
Indicates that an entity has a specified length of shoreline along or bordering another geographic feature (such as a body of water or coast).
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51b12606081908ea320fd8d5554c6 |
completed | April 19, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
Created at: April 10, 2026, 11:22 a.m.