Triple
T15718163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyali |
E381013
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Yali |
E728006
|
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: Yali | Statement: [Gyali, alsoKnownAs, Yali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yali Context triple: [Gyali, alsoKnownAs, Yali]
-
A.
Yali
chosen
Yali are an indigenous Papuan people of the highlands of Indonesian New Guinea, known for their traditional stone-age farming practices, distinctive dress, and remote mountain settlements.
-
B.
Yassa
Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
-
C.
Ngola
Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
-
D.
Shundi
Shundi is a fictional kingdom from Satyajit Ray’s Bengali fantasy film and stories featuring Goopy and Bagha, known for its whimsical, magical setting.
-
E.
Shundi
Shundi is the posthumous temple name of Toghon Temür, the last emperor of China’s Yuan dynasty.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f932a248190b65ecfb2bc56e715 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82f464008190ae0e79f50b9b3eb3 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:45 a.m.