Triple
T7790410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waukesha, Wisconsin |
E187360
|
entity |
| Predicate | hasHistoricAttraction |
P1098
|
FINISHED |
| Object | mineral spring resorts |
—
|
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: mineral spring resorts | Statement: [Waukesha, Wisconsin, hasHistoricAttraction, mineral spring resorts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricAttraction Context triple: [Waukesha, Wisconsin, hasHistoricAttraction, mineral spring resorts]
-
A.
hasHistoricSite
chosen
Indicates that an entity possesses, contains, or is associated with a place recognized for its historical significance.
-
B.
hasHistoricCity
Indicates that an entity possesses, contains, or is associated with a city recognized for its historical significance.
-
C.
hasTouristAttractionRole
Indicates that an entity serves in the capacity or function of a tourist attraction for another entity (such as a place, organization, or area).
-
D.
hasHistoricDistrict
Indicates that an entity possesses or contains a designated historic district within its boundaries or domain.
-
E.
hasHistoricMarker
Indicates that something is associated with or identified by an official historic marker or plaque recognizing its historical significance.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7ea13f08190a60c5f1863bce816 |
completed | March 30, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69caa48a166c8190a5da0046bde4d9ee |
completed | March 30, 2026, 4:27 p.m. |
Created at: March 30, 2026, 4:25 p.m.