Triple
T36009311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Christopher (Saint Kitts) |
E1041359
|
entity |
| Predicate | formsStateWith |
P6653
|
FINISHED |
| Object | Nevis |
—
|
NE NERFINISHED |
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: Nevis | Statement: [Saint Christopher (Saint Kitts), formsStateWith, Nevis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsStateWith Context triple: [Saint Christopher (Saint Kitts), formsStateWith, Nevis]
-
A.
formsWith
chosen
Indicates that one entity combines or associates with another to create or constitute a joint structure, group, or configuration.
-
B.
formsFusionWith
Indicates that two or more entities combine to create a single, unified entity or structure.
-
C.
formsFrom
Indicates that one entity is created, derived, or takes shape as a result of another entity.
-
D.
formsFor
Indicates that one entity constitutes the physical or structural makeup of another entity.
-
E.
formedState
Indicates that an entity brought a particular state, condition, or configuration into existence or caused it to come about.
- 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_69f76e2a02208190aedd1f9025a8b300 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
Created at: May 3, 2026, 4:07 p.m.