Triple
T35504215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyandotte Constitution |
E1026096
|
entity |
| Predicate | cityOfConvention |
P1798
|
FINISHED |
| Object | Wyandotte, Kansas Territory |
—
|
NE NERFINISHED |
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: Wyandotte, Kansas Territory | Statement: [Wyandotte Constitution, cityOfConvention, Wyandotte, Kansas Territory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityOfConvention Context triple: [Wyandotte Constitution, cityOfConvention, Wyandotte, Kansas Territory]
-
A.
conventionCity
chosen
Indicates that a city is the location where a particular convention or conference is held.
-
B.
cityOfVenue
Indicates the city in which a given venue is located.
-
C.
meetingCity
Indicates the city where a meeting or encounter between entities takes place.
-
D.
hostCityOfEvent
Indicates that a city serves as the location where a particular event is held or takes place.
-
E.
cityOfOrganizer
Indicates that the referenced city is the location where the organizer is based or operates.
- 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_69f76dfc9c60819089c4217d93922615 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:04 p.m.