Triple
T4952770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boyhood Home at Knob Creek unit |
E111206
|
entity |
| Predicate | hasTrails |
P3625
|
FINISHED |
| Object | short walking paths |
—
|
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: short walking paths | Statement: [Boyhood Home at Knob Creek unit, hasTrails, short walking paths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrails Context triple: [Boyhood Home at Knob Creek unit, hasTrails, short walking paths]
-
A.
hasTrail
chosen
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
-
B.
hasNumberOfTrails
Indicates the specific count of trails associated with or available in a given entity.
-
C.
hasTrailType
Indicates that an entity (such as a trail or route) is associated with a specific type or category of trail.
-
D.
hasTrailConnection
Indicates that one location is connected to another by a traversable trail or path.
-
E.
hasTrailNetwork
Indicates that an entity possesses or is associated with a system of interconnected trails or paths.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71b6a5d481909ad6f5e0b752496c |
completed | March 20, 2026, 4:11 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.