Triple
T21275504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pont-à-Mousson |
E524376
|
entity |
| Predicate | universityFoundedInCentury |
P26573
|
FINISHED |
| Object | 16th century |
—
|
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: 16th century | Statement: [Pont-à-Mousson, universityFoundedInCentury, 16th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universityFoundedInCentury Context triple: [Pont-à-Mousson, universityFoundedInCentury, 16th century]
-
A.
foundedInCentury
Indicates that an entity was established or came into existence during a specified century.
-
B.
universityFoundedAs
Indicates the original form, name, or type under which a university was first established.
-
C.
foundedAsUniversityIn
chosen
Indicates that an institution was originally established as a university in a specific year or time period.
-
D.
earliestCollegeFoundedInYear
Indicates that the referenced college is the first (earliest founded) college established in the specified year.
-
E.
developedSinceCentury
Indicates that something began to be developed or came into existence starting from a specified century onward.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7365627a081908caea09097cca354 |
completed | April 21, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 16, 2026, 4:02 p.m.