Triple
T15084027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Census Bureau-designated Maine counties |
E360222
|
entity |
| Predicate | alignWith |
P6442
|
FINISHED |
| Object | Maine’s legally established counties |
—
|
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: Maine’s legally established counties | Statement: [United States Census Bureau-designated Maine counties, alignWith, Maine’s legally established counties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alignWith Context triple: [United States Census Bureau-designated Maine counties, alignWith, Maine’s legally established counties]
-
A.
alignsWith
chosen
Indicates that one entity is in agreement, harmony, or consistent correspondence with another in terms of position, direction, standard, or principle.
-
B.
alignedAgainst
Indicates that two or more entities are united in opposition to a common target, side, or objective.
-
C.
laterAlignedWith
Indicates that one entity becomes aligned with or matches another entity at a later point in time, rather than initially.
-
D.
alignmentGoal
Indicates that an entity has a desired or target alignment state it aims to achieve or maintain.
-
E.
alignmentComponents
Indicates that one entity is composed of or associated with specific subparts or elements that together form its overall alignment.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00275cfa88190a13fe20b585d9fcb |
completed | April 15, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69deb9645b9c8190a5712456dbd78029 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:03 a.m.