Triple
T9313188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J-root |
E224053
|
entity |
| Predicate | hasDNSLabel |
P88033
|
FINISHED |
| Object | J |
—
|
LITERAL 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: J | Statement: [J-root, hasDNSLabel, J]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDNSLabel Context triple: [J-root, hasDNSLabel, J]
-
A.
hasLabel
Indicates that an entity is associated with a specific textual label or name used to identify or describe it.
-
B.
hasTopLevelDomain
Indicates that one entity (typically a website, domain name, or internet resource) is associated with a specific top-level domain (such as .com, .org, or .uk).
-
C.
hasSubdomain
Indicates that one domain is a subordinate or nested part of another domain within a hierarchical naming structure.
-
D.
hasLabelSet
Indicates that an entity is associated with a specific collection or set of labels.
-
E.
DNS
Indicates a relationship where one entity serves as or is associated with a Domain Name System (DNS) configuration or service for another entity, enabling the translation of domain names to network addresses.
- F. None of above. chosen
Provenance (4 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd20b048a081909fd7ec0b6b863063 |
completed | April 1, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69cc7a61e9a4819096eb014f3791ef2e |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc955a38108190b602d1e73725f11b |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:37 p.m.