Triple
T3178291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senior Time Scale |
E66517
|
entity |
| Predicate | rankRelativeToState |
P22893
|
FINISHED |
| Object | equivalent to Deputy Collector in many 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: equivalent to Deputy Collector in many states | Statement: [Senior Time Scale, rankRelativeToState, equivalent to Deputy Collector in many states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankRelativeToState Context triple: [Senior Time Scale, rankRelativeToState, equivalent to Deputy Collector in many states]
-
A.
rankStatus
Indicates the hierarchical level or position an entity holds within an ordered ranking or status system.
-
B.
rankComparedTo
chosen
Indicates the relative ordering or position of one entity in comparison to another based on a specified ranking criterion.
-
C.
rankEquivalent
Indicates that two entities hold the same rank or hierarchical level within a given ordering or classification system.
-
D.
rankIndicated
Indicates that one entity specifies, denotes, or reveals the hierarchical rank or level of another entity.
-
E.
rankWithinOrganization
Indicates the relative hierarchical position or level an entity holds within a specific organization.
- 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada69db2088190baa1305892eb148a |
completed | March 8, 2026, 4:41 p.m. |
| PD | Predicate disambiguation | batch_69ad9e02677c8190a21d93b1259b2761 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.