Triple
T5771326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3GPP TSG CT |
E127336
|
entity |
| Predicate | hasWorkingGroup |
P1382
|
FINISHED |
| Object | CT1 |
E523107
|
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: CT1 | Statement: [3GPP TSG CT, hasWorkingGroup, CT1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CT1 Context triple: [3GPP TSG CT, hasWorkingGroup, CT1]
-
A.
CT1
chosen
CT1 is a 3GPP working group responsible for specifying core network and terminal aspects of mobile telecommunications systems.
-
B.
CTN
CTN is the ICAO airline designator used to identify Croatia Airlines in international aviation operations.
-
C.
CT3
CT3 is a 3GPP Core Network and Terminals working group responsible for developing and maintaining signaling protocols and related specifications for mobile telecommunications networks.
-
D.
CT4
CT4 is a 3GPP working group responsible for specifying protocols and interfaces for core network and terminal interoperability in mobile telecommunications systems.
-
E.
CTC
CTC is the national trade union federation of Cuba that represents and coordinates the activities of Cuban workers across various sectors.
- 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.