Triple
T12295786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jagdalpur |
E293082
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
CG
CG is the vehicle registration code for the Indian state of Chhattisgarh.
|
E975333
|
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: CG | Statement: [Jagdalpur, vehicleRegistrationCode, CG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CG Context triple: [Jagdalpur, vehicleRegistrationCode, CG]
-
A.
CG
CG is the stock ticker symbol for The Carlyle Group, a major global alternative asset management and private equity firm.
-
B.
CG
CG is the standard abbreviation for "Cohomologie Galoisienne," a foundational area of mathematics studying Galois cohomology and its applications in number theory and algebraic geometry.
-
C.
GD
GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
-
D.
GD
GD is the abbreviation for Guangdong, a populous and economically significant coastal province in southern China.
-
E.
GD
GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
- 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: CG Triple: [Jagdalpur, vehicleRegistrationCode, CG]
Generated description
CG is the vehicle registration code for the Indian state of Chhattisgarh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CG Target entity description: CG is the vehicle registration code for the Indian state of Chhattisgarh.
-
A.
CG
CG is the stock ticker symbol for The Carlyle Group, a major global alternative asset management and private equity firm.
-
B.
CG
CG is the standard abbreviation for "Cohomologie Galoisienne," a foundational area of mathematics studying Galois cohomology and its applications in number theory and algebraic geometry.
-
C.
GD
GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
-
D.
GD
GD is the abbreviation for Guangdong, a populous and economically significant coastal province in southern China.
-
E.
GD
GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93ed903808190b7ed90e0db3d7586 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e79bf548190bf7f314222ed1ed1 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f62260d6708190808e52935a27e2c1 |
completed | May 2, 2026, 4:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6230f4c8081908a759efa43b4800b |
completed | May 2, 2026, 4:15 p.m. |
Created at: April 8, 2026, 9:52 p.m.