Triple
T28391790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fremont Cannon |
E719172
|
entity |
| Predicate | locationWhenNevadaHolds |
P200023
|
FINISHED |
| Object | University of Nevada, Reno campus |
—
|
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: University of Nevada, Reno campus | Statement: [Fremont Cannon, locationWhenNevadaHolds, University of Nevada, Reno campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationWhenNevadaHolds Context triple: [Fremont Cannon, locationWhenNevadaHolds, University of Nevada, Reno campus]
-
A.
stateGovernorResidenceLocatedIn
Indicates that the official residence of a state governor is located within a specified geographic or political area.
-
B.
tookPlaceInState
Indicates that an event or occurrence happened within the geographical or political boundaries of a specific state.
-
C.
regionalLocationWithinState
Indicates that one region is geographically located within the boundaries of a specific state.
-
D.
GoldenSpikeLocation
Indicates the specific place where the ceremonial "golden spike" event or object is located.
-
E.
housedInState
Indicates that an entity is located or situated within the boundaries of a particular state.
- F. None of above. chosen
Provenance (4 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_69eff6ef211081909d31d9be5f5567e6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69ff6c061c6c81909ff485e9cafc88a2 |
completed | May 9, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ff6aaf886c8190a3c87d089453f3de |
completed | May 9, 2026, 5:11 p.m. |
| PDg | Predicate description generation | batch_69ff6c04fa208190b1fab40a71ef923f |
completed | May 9, 2026, 5:16 p.m. |
Created at: April 28, 2026, 1:14 a.m.