Triple
T17038573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anxur |
E413383
|
entity |
| Predicate | hasAncientName |
P20952
|
FINISHED |
| Object | Anxur |
E413383
|
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: Anxur | Statement: [Anxur, hasAncientName, Anxur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anxur Context triple: [Anxur, hasAncientName, Anxur]
-
A.
Anxur
chosen
Anxur was an important ancient Volscian city in central Italy, later known as Tarracina under Roman rule.
-
B.
Adrestia
Adrestia is a lesser-known Greek goddess associated with revolt, retribution, and the balance between war and peace.
-
C.
Eteon
Eteon is a shadowy, high-tech terrorist organization in the Fast & Furious franchise, known for its advanced cybernetic enhancements and global destabilization schemes.
-
D.
Alcyone
Alcyone is one of the Pleiades in Greek mythology, a daughter of the Titan Atlas and often associated with the star cluster of the same name.
-
E.
GANOPE
GANOPE is an Egyptian state-owned petroleum holding company responsible for managing and developing oil and gas resources in the southern regions of Egypt.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f45f84819092cfb27cc33da026 |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b5ceb048190a7f6cf2361360f90 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.