Triple
T277010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munroe Tavern |
E5270
|
entity |
| Predicate | hasTourType |
P7952
|
FINISHED |
| Object | guided tours |
—
|
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: guided tours | Statement: [Munroe Tavern, hasTourType, guided tours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTourType Context triple: [Munroe Tavern, hasTourType, guided tours]
-
A.
hasTour
chosen
Indicates that an entity offers, includes, or is associated with a tour experience or guided visit.
-
B.
hasTypeOfVisitorExperience
Indicates that an entity is associated with a particular category or kind of visitor experience it provides or involves.
-
C.
hasRecreationType
Indicates that an entity is associated with or offers a particular type or category of recreational activity.
-
D.
tourismType
Indicates the specific category or kind of tourism activity or experience associated with an entity.
-
E.
hasVisitorType
Indicates the type or category of visitor associated with an entity (e.g., guest, customer, tourist, patient).
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25ded68c88190b1fc595ce329aeb9 |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b7480e881909399beccfc7ffb81 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.