Triple
T19723669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Schedule |
E473669
|
entity |
| Predicate | lowestGrade |
P12750
|
FINISHED |
| Object |
GS-1
GS-1 is the entry-level pay grade for federal civilian employees under the U.S. General Schedule pay system, typically covering the least complex and lowest-responsibility positions.
|
E1391124
|
NE FINISHED |
How this triple was built (4 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: GS-1 | Statement: [General Schedule, lowestGrade, GS-1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GS-1 Context triple: [General Schedule, lowestGrade, GS-1]
-
A.
G-1
G-1 is the United States Army staff designation responsible for personnel management, including human resources policies, manpower, and related administrative functions.
-
B.
Army G-1
Army G-1 is the United States Army’s senior personnel directorate responsible for developing and overseeing policies related to manpower, personnel, and human resources.
-
C.
GCSB
GCSB is New Zealand’s signals intelligence and information security agency responsible for foreign intelligence gathering and cybersecurity.
-
D.
GS
GS is the vehicle registration code used on license plates for the district of Goslar in Lower Saxony, Germany.
-
E.
GS
GS is the vehicle registration code used on license plates for the town of Gospić in Croatia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GS-1 Triple: [General Schedule, lowestGrade, GS-1]
Generated description
GS-1 is the entry-level pay grade for federal civilian employees under the U.S. General Schedule pay system, typically covering the least complex and lowest-responsibility positions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GS-1 Target entity description: GS-1 is the entry-level pay grade for federal civilian employees under the U.S. General Schedule pay system, typically covering the least complex and lowest-responsibility positions.
-
A.
G-1
G-1 is the United States Army staff designation responsible for personnel management, including human resources policies, manpower, and related administrative functions.
-
B.
Army G-1
Army G-1 is the United States Army’s senior personnel directorate responsible for developing and overseeing policies related to manpower, personnel, and human resources.
-
C.
GCSB
GCSB is New Zealand’s signals intelligence and information security agency responsible for foreign intelligence gathering and cybersecurity.
-
D.
GS
GS is the vehicle registration code used on license plates for the district of Goslar in Lower Saxony, Germany.
-
E.
GS
GS is the common abbreviation for United Global Services, United Airlines’ invitation-only elite frequent flyer status for its most valuable customers.
- F. None of above. chosen
Provenance (5 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f64984819097882c44098b1643 |
completed | April 20, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07aba8a78081909c5eb3b663ac86aa |
completed | May 15, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_6a07acf34c74819090ef85fdd08f2dba |
completed | May 15, 2026, 11:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07adae467c819083addd41857554b5 |
completed | May 15, 2026, 11:35 p.m. |
Created at: April 10, 2026, 1:46 p.m.