Triple
T1133957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Åland Islands |
E23094
|
entity |
| Predicate | neutralized |
P26413
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Åland Islands, neutralized, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neutralized Context triple: [Åland Islands, neutralized, true]
-
A.
nonPartisan
Indicates that an entity is not affiliated with, influenced by, or acting on behalf of any political party or partisan interest.
-
B.
negativeFormulation
Indicates that the associated statement, condition, or requirement is expressed in a negated or prohibitive form rather than an affirmative one.
-
C.
nonConstructive
Indicates that the relationship or action does not provide a direct, explicit method or example to realize or build the object, outcome, or proof it asserts exists.
-
D.
favored
Indicates that one entity is preferred, supported, or given advantage over others by another entity.
-
E.
undermined
Indicates that one entity has weakened, subverted, or reduced the effectiveness, authority, or stability of another entity or its position.
- 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bde18d208190848c189b2b8d585f |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4b52d48190bec2e7ad1cc8efc0 |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bddfa598819088690e1ab010ba0b |
completed | March 1, 2026, 10:29 p.m. |
Created at: March 1, 2026, 7:44 p.m.