Triple
T7125799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ephraim Williams |
E166056
|
entity |
| Predicate | bequestCondition |
P69648
|
FINISHED |
| Object | the town should be named Williamstown |
—
|
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: the town should be named Williamstown | Statement: [Ephraim Williams, bequestCondition, the town should be named Williamstown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bequestCondition Context triple: [Ephraim Williams, bequestCondition, the town should be named Williamstown]
-
A.
donationCondition
chosen
Indicates that a donation is subject to specific terms, requirements, or circumstances that must be met for it to occur or be valid.
-
B.
bequestLocation
Indicates the place or institution where a bequest is directed, stored, or intended to be received.
-
C.
obligationCondition
Indicates that one situation or state serves as the condition under which an obligation for an entity becomes active or must be fulfilled.
-
D.
bequeathedBy
Indicates that something has been left or passed on to an entity through the will or inheritance of another entity.
-
E.
notableBequest
Indicates that one entity is a significant or historically notable bequest, legacy, or inheritance made by another entity.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e64d99888190a93c1822e19b5457 |
completed | March 27, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c7289881909f3b533c384f9ed4 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:44 p.m.