Triple
T5481376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GSM core network |
E123472
|
entity |
| Predicate | usesDatabase |
P11852
|
FINISHED |
| Object | HLR |
E523114
|
NE 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: HLR | Statement: [GSM core network, usesDatabase, HLR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HLR Context triple: [GSM core network, usesDatabase, HLR]
-
A.
HLR
chosen
HLR (Home Location Register) is a central database in mobile networks that stores and manages subscriber information, authentication data, and location details for GSM users.
-
B.
VLR
VLR is the abbreviation for the Virginia Landmarks Register, the Commonwealth of Virginia’s official list of historically significant properties and districts.
-
C.
VLR
VLR (Visitor Location Register) is a key mobile network database that temporarily stores subscriber information and location details for users currently roaming within a specific area.
-
D.
HRL
HRL is a renowned research center known for pioneering work in fields such as microelectronics, information and quantum sciences, and advanced materials.
-
E.
HL
HL is the vehicle registration code used on license plates for the German city of Lübeck.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd924a2eb08190b759b23a6eab5e0a |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c812d4c8190a22f76b787ab0f10 |
completed | March 22, 2026, 4:13 a.m. |
Created at: March 20, 2026, 2:09 p.m.