Triple
T5479874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E-UTRAN |
E123442
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object |
GERAN
GERAN (GSM EDGE Radio Access Network) is a 2G/2.5G mobile telecommunications radio access network standard that enhances GSM with EDGE technology to provide improved data services.
|
E522255
|
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: GERAN | Statement: [E-UTRAN, predecessor, GERAN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GERAN Context triple: [E-UTRAN, predecessor, GERAN]
-
A.
GER
GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
-
B.
Ger
Ger is a prominent Hasidic dynasty, originating in Góra Kalwaria, Poland, known for its large following and significant influence within the Haredi Jewish world.
-
C.
Gers
Gers is a river in southwestern France that flows through the historical region of Gascony before joining the Garonne.
-
D.
Gersprenz
Gersprenz is a river in the German state of Hesse that flows through the Odenwald region before joining the Main River system.
-
E.
Gemer
Gemer is a historical and geographical region in southern Slovakia known for its mining heritage, medieval castles, and karst landscapes.
- 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: GERAN Triple: [E-UTRAN, predecessor, GERAN]
Generated description
GERAN (GSM EDGE Radio Access Network) is a 2G/2.5G mobile telecommunications radio access network standard that enhances GSM with EDGE technology to provide improved data services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GERAN Target entity description: GERAN (GSM EDGE Radio Access Network) is a 2G/2.5G mobile telecommunications radio access network standard that enhances GSM with EDGE technology to provide improved data services.
-
A.
GER
GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
-
B.
Ger
Ger is a prominent Hasidic dynasty, originating in Góra Kalwaria, Poland, known for its large following and significant influence within the Haredi Jewish world.
-
C.
Gers
Gers is a river in southwestern France that flows through the historical region of Gascony before joining the Garonne.
-
D.
Gersprenz
Gersprenz is a river in the German state of Hesse that flows through the Odenwald region before joining the Main River system.
-
E.
Gemer
Gemer is a historical and geographical region in southern Slovakia known for its mining heritage, medieval castles, and karst landscapes.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9248ca348190aa116cace0f9b07a |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf48a001c081909b0e9f1b36fd10db |
completed | March 22, 2026, 1:40 a.m. |
| NEDg | Description generation | batch_69bf496861f08190aca539510ddfebbc |
completed | March 22, 2026, 1:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf49c564188190b4b3a40ee09b0461 |
completed | March 22, 2026, 1:45 a.m. |
Created at: March 20, 2026, 2:09 p.m.