Triple
T18387529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawaii Territory |
E446630
|
entity |
| Predicate | unionEntry |
P130934
|
FINISHED |
| Object | 50th state 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: 50th state of the United States | Statement: [Hawaii Territory, unionEntry, 50th state of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unionEntry Context triple: [Hawaii Territory, unionEntry, 50th state of the United States]
-
A.
unionEvent
Indicates an event in which two or more entities are joined or combined into a single unified whole.
-
B.
unionForm
Indicates that an entity is a form, document, or process used to establish, join, or manage membership in a union or union-related organization.
-
C.
memberUnion
Indicates that an entity is a member (part of) a specified union or collective group.
-
D.
union
Indicates that two or more sets are combined into a single set containing all elements that belong to at least one of them.
-
E.
unionInvolved
Indicates that a labor union is involved in, associated with, or plays a role in the specified action, event, or relationship between entities.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e517a114c08190af1be1ae52c83b63 |
completed | April 19, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a1bda48190a9cd1db436d4be62 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:46 a.m.