Triple
T38579442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington’s 2nd legislative district |
E929499
|
entity |
| Predicate | hasCountyComponent |
P5971
|
FINISHED |
| Object | Pierce County |
E52438
|
NE 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: Pierce County | Statement: [Washington’s 2nd legislative district, hasCountyComponent, Pierce County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountyComponent Context triple: [Washington’s 2nd legislative district, hasCountyComponent, Pierce County]
-
A.
hasCountyCode
Indicates that an entity is associated with a specific county identified by a standardized county code.
-
B.
hasCountyCodeType
Indicates that an entity is associated with a specific type or classification of county code.
-
C.
includesCounty
chosen
Indicates that a larger geographic or administrative region contains or encompasses a specific county within its boundaries.
-
D.
hasCentralCounty
Indicates that an administrative or geographic region is associated with a specific county that serves as its central or primary county.
-
E.
hasNonMetropolitanCountyComponent
Indicates that an entity includes, comprises, or is partly made up of one or more non-metropolitan counties as components.
- F. None of above.
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_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a425186f58c8190bb4271084a1adf2b |
completed | June 29, 2026, 11:05 a.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.