Triple
T23008515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unorganized Borough |
E572843
|
entity |
| Predicate | hasReasonForExistence |
P146773
|
FINISHED |
| Object | low population density in much of Alaska |
—
|
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: low population density in much of Alaska | Statement: [Unorganized Borough, hasReasonForExistence, low population density in much of Alaska]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReasonForExistence Context triple: [Unorganized Borough, hasReasonForExistence, low population density in much of Alaska]
-
A.
existsBecauseOf
chosen
Indicates that one entity’s existence is caused, enabled, or brought about by another entity.
-
B.
hasExistenceStatus
Indicates that an entity is associated with a particular state of existence, such as being current, historical, planned, or no longer existing.
-
C.
hasExistentiale
Indicates that an entity possesses or is associated with an existential characteristic, condition, or mode of being.
-
D.
existsSince
Indicates that an entity has been in existence or valid from a specified point in time onward.
-
E.
existsFor
Indicates that something is present, available, or holds true for a particular entity, context, or condition.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1835919b08190ba78e182b87358d4 |
completed | April 29, 2026, 4:04 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:51 p.m.