Triple
T9991143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sulpicians |
E196887
|
entity |
| Predicate | enteredRegionYear |
P87279
|
FINISHED |
| Object | 1657 |
—
|
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: 1657 | Statement: [Sulpicians, enteredRegionYear, 1657]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredRegionYear Context triple: [Sulpicians, enteredRegionYear, 1657]
-
A.
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.
-
B.
emergedInRegion
Indicates that something first appeared, originated, or came into existence within a specified geographic region.
-
C.
grantedTerritoryYear
Indicates the year in which a specific territory was formally granted or assigned to an entity.
-
D.
enteredCountry
chosen
Indicates that an entity has moved into or crossed the border to be physically present within a specified country.
-
E.
transitionYear
Indicates the specific year in which a change, shift, or transition from one state, condition, or phase to another occurs.
- 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_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdc7a0cb6481908d7bd1b43f93bd18 |
completed | April 2, 2026, 1:34 a.m. |
| PD | Predicate disambiguation | batch_69cd1da07db88190945bcdab3ca82e71 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:50 p.m.