Triple
T5770941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HSDPA |
E127328
|
entity |
| Predicate | combinedWith |
P402
|
FINISHED |
| Object | HSPA |
E23867
|
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: HSPA | Statement: [HSDPA, combinedWith, HSPA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HSPA Context triple: [HSDPA, combinedWith, HSPA]
-
A.
HSDPA
HSDPA (High-Speed Downlink Packet Access) is a 3G mobile telephony protocol that significantly increases data download speeds and network capacity for users on compatible cellular networks.
-
B.
LTE
LTE (Long Term Evolution) is a high-speed wireless communication standard for mobile devices and data terminals, widely used as the foundation of 4G cellular networks.
-
C.
UMTS
chosen
UMTS is a third-generation (3G) mobile telecommunications system that provides higher-speed voice and data services over cellular networks.
-
D.
LTE-Advanced
LTE-Advanced is an enhanced 4G mobile communication standard that significantly improves data rates, capacity, and network efficiency over earlier LTE systems.
-
E.
eXtended Data Rate
eXtended Data Rate (XDR) is a high-performance dynamic random-access memory (DRAM) technology designed to provide very high bandwidth for applications like game consoles, graphics systems, and networking equipment.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029ac21ec81908d88ba72e966d7cb |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e648aa881908411a00d48998ecc |
completed | March 22, 2026, 11:42 p.m. |
Created at: March 22, 2026, 3:50 p.m.