Triple
T12077802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabletop Mountain (Adirondacks) |
E287596
|
entity |
| Predicate | hasTrailStatus |
P103082
|
FINISHED |
| Object | trailless peak |
—
|
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: trailless peak | Statement: [Tabletop Mountain (Adirondacks), hasTrailStatus, trailless peak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrailStatus Context triple: [Tabletop Mountain (Adirondacks), hasTrailStatus, trailless peak]
-
A.
hasTrail
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
-
B.
hasTrailType
Indicates that an entity (such as a trail or route) is associated with a specific type or category of trail.
-
C.
hasTrailFeature
Indicates that a trail possesses or is characterized by a specific feature or attribute.
-
D.
hasTrailConnection
Indicates that one location is connected to another by a traversable trail or path.
-
E.
hasTrailLength
Indicates that an entity (such as a trail or route) has a specific measured length.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bf4f508190842927e7e0642235 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:48 p.m.