Triple
T2455049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry S. Truman Presidential Walking Trail (around the Square) |
E54399
|
entity |
| Predicate | tourMode |
P25597
|
FINISHED |
| Object | on foot |
—
|
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: on foot | Statement: [Harry S. Truman Presidential Walking Trail (around the Square), tourMode, on foot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourMode Context triple: [Harry S. Truman Presidential Walking Trail (around the Square), tourMode, on foot]
-
A.
touringActivity
Indicates an activity where an entity travels from place to place, typically for visiting, performing, or sightseeing purposes.
-
B.
touringStyle
chosen
Indicates the manner or approach in which an entity conducts or experiences a tour (e.g., type, format, or style of touring).
-
C.
hasTouristRoute
Indicates that a location or site is connected to or included in a designated tourist route or itinerary.
-
D.
tourAccess
Indicates that an entity is permitted to participate in, enter, or make use of a specific tour.
-
E.
touringArea
Indicates that an entity is designated as an area or region where touring or guided visits take place.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0aed2688190a18fe66b98d80e0b |
completed | March 7, 2026, 7:15 a.m. |
Created at: March 6, 2026, 9:44 p.m.