Triple
T13924235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BPS-10 |
E334820
|
entity |
| Predicate | typicalPositionType |
P112307
|
FINISHED |
| Object | administrative positions |
—
|
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: administrative positions | Statement: [BPS-10, typicalPositionType, administrative positions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPositionType Context triple: [BPS-10, typicalPositionType, administrative positions]
-
A.
typicalRecipientPosition
Indicates the usual or expected spatial or organizational position where a recipient is located relative to the action or source.
-
B.
typicalPositionBias
Indicates a systematic tendency for something to be placed, chosen, or interpreted in a commonly favored or default position relative to other options.
-
C.
typicalCalendarPosition
Indicates the usual or standard placement of something within a calendar sequence, such as its customary date, time, or ordering.
-
D.
typicalBalancingPositions
Indicates the standard or commonly used positions in which elements are arranged or adjusted to achieve balance or equilibrium in a given context.
-
E.
typicalPositionInSentence
Indicates the usual or most common position that an element occupies within the linear order of components in a sentence.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa6cd9881908f652538f4613f37 |
completed | April 14, 2026, 11:53 a.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:16 p.m.