Triple
T24706478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Taumalolo |
E611905
|
entity |
| Predicate | yearSwitchedToTonga |
P157011
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Jason Taumalolo, yearSwitchedToTonga, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearSwitchedToTonga Context triple: [Jason Taumalolo, yearSwitchedToTonga, 2017]
-
A.
changedCountryAfter
Indicates that an entity moved from one country to another at some point after a specified reference time or event.
-
B.
cededToCountry
Indicates that control, ownership, or sovereignty over something was formally transferred from one country to another.
-
C.
introducedToRegion
Indicates that an entity was brought or made present in a particular geographic or administrative region for the first time or as a new occurrence.
-
D.
countrySucceededBy
Indicates that one country is the direct successor state that replaces or follows another country in sovereignty or political continuity.
-
E.
timeZoneChange
Indicates a change in the time zone associated with an entity, such as shifting from one time offset or region-based time standard to another.
- 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410fc18808190b4e47d5a71d3a126 |
completed | May 1, 2026, 2:33 a.m. |
Created at: April 18, 2026, 3:24 a.m.