Triple
T2337663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gee |
E44347
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object |
GEE-H
GEE-H is a successor model to the Gee language model series, representing a more advanced generation of the system.
|
E258731
|
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: GEE-H | Statement: [Gee, successor, GEE-H]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GEE-H Context triple: [Gee, successor, GEE-H]
-
A.
Gee
Gee was a World War II-era British radio navigation system that enabled Royal Air Force bombers to determine their position and improve bombing accuracy, especially during night operations.
-
B.
Geg
Geg is an alternative name for Gheg, the northern dialect group of the Albanian language spoken primarily in northern Albania and surrounding regions.
-
C.
HEE
HEE is the acronym for Health Education England, the national body responsible for overseeing education, training, and workforce development for healthcare staff in England.
-
D.
Geez
Geez is an ancient South Semitic language of Ethiopia and Eritrea, best known today as the liturgical language of the Ethiopian and Eritrean Orthodox Tewahedo Churches.
-
E.
GEOC
GEOC is the commonly used abbreviation for the Division of Geochemistry, a professional group focused on the study of the chemical composition and processes of the Earth.
- 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: GEE-H Triple: [Gee, successor, GEE-H]
Generated description
GEE-H is a successor model to the Gee language model series, representing a more advanced generation of the system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GEE-H Target entity description: GEE-H is a successor model to the Gee language model series, representing a more advanced generation of the system.
-
A.
Gee
Gee was a World War II-era British radio navigation system that enabled Royal Air Force bombers to determine their position and improve bombing accuracy, especially during night operations.
-
B.
Geg
Geg is an alternative name for Gheg, the northern dialect group of the Albanian language spoken primarily in northern Albania and surrounding regions.
-
C.
HEE
HEE is the acronym for Health Education England, the national body responsible for overseeing education, training, and workforce development for healthcare staff in England.
-
D.
Geez
Geez is an ancient South Semitic language of Ethiopia and Eritrea, best known today as the liturgical language of the Ethiopian and Eritrean Orthodox Tewahedo Churches.
-
E.
GEOC
GEOC is the commonly used abbreviation for the Division of Geochemistry, a professional group focused on the study of the chemical composition and processes of the Earth.
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc68ac4348190ab6ec46ec7879643 |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae961adfdc8190bf79d479d8207599 |
completed | March 9, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_69ae97406c588190855ecb6c9ed00bc9 |
completed | March 9, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae97c82e8c8190a613444ea4ffb5a0 |
completed | March 9, 2026, 9:50 a.m. |
Created at: March 4, 2026, 7:51 p.m.