Triple
T14322288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afilias |
E355120
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object | .info |
E771982
|
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: .info | Statement: [Afilias, operates, .info]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: .info Context triple: [Afilias, operates, .info]
-
A.
.info
chosen
.info is a generic top-level domain (gTLD) commonly used for informational websites on the internet.
-
B.
EInfo
EInfo is an NCBI E-utilities endpoint that provides metadata and field information about a specific NCBI database.
-
C.
IN
IN is the two-letter ISO 3166-1 alpha-2 country code representing India in international standards and systems.
-
D.
IN
IN is the official two-letter United States Postal Service abbreviation for the state of Indiana.
-
E.
IN
IN is the commonly used abbreviation for the Innocence Network, a coalition of organizations dedicated to exonerating wrongfully convicted individuals and reforming the criminal justice system.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883d1de88190a1e2bf2f1b692197 |
completed | April 14, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd468e263c81909d7261bcfd949579 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:13 a.m.