Triple
T12914732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Plymouth, Vermont |
E308946
|
entity |
| Predicate | hasHighestOfficeHolderBornHere |
P106987
|
FINISHED |
| Object | 30th President of the United States |
—
|
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: 30th President of the United States | Statement: [Town of Plymouth, Vermont, hasHighestOfficeHolderBornHere, 30th President of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighestOfficeHolderBornHere Context triple: [Town of Plymouth, Vermont, hasHighestOfficeHolderBornHere, 30th President of the United States]
-
A.
governorBasedIn
Indicates that a governor carries out their official duties or has their primary office located in a specified place.
-
B.
honorsPersonBornIn
Indicates that one entity pays tribute or recognition to a person who was born in a specified place or time.
-
C.
birthDateOfNotableResident
Indicates the date of birth of a person who is a notable or distinguished resident of a given place.
-
D.
hasCitizenBornHere
Indicates that a person holds citizenship in a place where they were also born.
-
E.
hasMayor
Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a0d6508190bca9668e9e06abfe |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa9b7708190a9e9fa30f59ff580 |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9708a86bc8190bcdcf97e845bb413 |
completed | April 10, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:41 p.m.