Triple
T7001417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SWITCH |
E162344
|
entity |
| Predicate | manages |
P86
|
FINISHED |
| Object | .li top-level domain |
E597234
|
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: .li top-level domain | Statement: [SWITCH, manages, .li top-level domain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: .li top-level domain Context triple: [SWITCH, manages, .li top-level domain]
-
A.
LI
chosen
LI is the two-letter ISO 3166-1 alpha-2 country code for Liechtenstein.
-
B.
LI
LI is the Roman numeral representing the number 51.
-
C.
Lt
Lt is the standard military abbreviation for the commissioned officer rank of Lieutenant in the Australian Army.
-
D.
LV
LV is the two-letter ISO 3166-1 alpha-2 country code representing Latvia.
-
E.
LTRI
LTRI is a Japanese institution responsible for the professional training and research development of legal professionals, particularly judges and prosecutors.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc0f8830819091f4356296234713 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a310eb08190a0fc1de2814aea08 |
completed | March 28, 2026, 5:42 a.m. |
Created at: March 27, 2026, 2:33 p.m.