Triple
T15925448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ansongo |
E386194
|
entity |
| Predicate | regionCapital |
P16248
|
FINISHED |
| Object | Gao |
E144681
|
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: Gao | Statement: [Ansongo, regionCapital, Gao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gao Context triple: [Ansongo, regionCapital, Gao]
-
A.
Gao
Gao is a Chinese surname historically associated with the Jewish community of Kaifeng, one of the oldest Jewish diasporas in China.
-
B.
Gao
chosen
Gao is a historic city in eastern Mali that served as a major trading center and former capital of the Songhai Empire along the Niger River.
-
C.
Gao
Gao is an Oceanic language of the Southeast Solomonic group spoken in the Solomon Islands.
-
D.
Guan
Guan is a common Chinese surname with historical roots and multiple romanized variants, including Kwan.
-
E.
Gaoxiu
Gaoxiu was the courtesy name of Zhu Biao, the Crown Prince of the Ming dynasty and eldest son of the Hongwu Emperor.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15685b28c8190927b704fef14a159 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5adcde88190ae2a845aaa9d31ac |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:52 a.m.