Triple
T12378962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apu Qun Tiqsi Wiraqutra |
E295696
|
entity |
| Predicate | epithetScope |
P104657
|
FINISHED |
| Object | universal |
—
|
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: universal | Statement: [Apu Qun Tiqsi Wiraqutra, epithetScope, universal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: epithetScope Context triple: [Apu Qun Tiqsi Wiraqutra, epithetScope, universal]
-
A.
languageOfEpithet
Indicates the language in which an epithet (such as a descriptive or honorary title) is expressed.
-
B.
epithetOrTitle
Indicates that one entity serves as an epithet, honorific, or formal title used to designate or characterize another entity.
-
C.
epithetOfPantheon
Indicates that one term is used as an epithet or honorific title specifically for a deity or figure within a particular pantheon.
-
D.
eponymFor
Indicates that one entity gives its name to another entity, which is then named after it.
-
E.
equivalentEpithetLanguage
Indicates that two epithets are expressed in different languages but convey the same meaning or designation.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fb9eca48190aa6612ffc5ed0df2 |
completed | April 10, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69d93ed256788190b704cad171a4824e |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93fa244148190a960be3ff6f1cf45 |
completed | April 10, 2026, 6:21 p.m. |
Created at: April 8, 2026, 9:54 p.m.