Triple
T8435019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bagaran |
E199205
|
entity |
| Predicate | replacedAsCapitalBy |
P3417
|
FINISHED |
| Object | Ani |
E202148
|
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: Ani | Statement: [Bagaran, replacedAsCapitalBy, Ani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ani Context triple: [Bagaran, replacedAsCapitalBy, Ani]
-
A.
Ani
chosen
Ani was a medieval Armenian city renowned for its wealth, architectural splendor, and status as a major cultural and political center on the Silk Road.
-
B.
Ani
Ani is the Igbo earth goddess associated with morality, fertility, and the underworld in the Odinani traditional religion.
-
C.
Anka
Anka is a common diminutive form of the female given name Anna, used in several Slavic and Central European languages.
-
D.
Anii
Anii is a Niger-Congo language spoken primarily in parts of Benin and Togo in West Africa.
-
E.
Anini
Anini is a remote town in the Dibang Valley district of Arunachal Pradesh in northeastern India, known for its rugged Himalayan terrain and proximity to the Dibang River.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd1a905ac8190b1015e1da9b16938 |
completed | March 31, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d71d9748190903ed97dde6d28f4 |
completed | April 2, 2026, 7:40 a.m. |
Created at: March 30, 2026, 6:08 p.m.