Triple
T18916831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Jakku |
E462744
|
entity |
| Predicate | foughtOn |
P39414
|
FINISHED |
| Object | Jakku |
—
|
NE NERFINISHED |
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: Jakku | Statement: [Battle of Jakku, foughtOn, Jakku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jakku Context triple: [Battle of Jakku, foughtOn, Jakku]
-
A.
Jakku
chosen
Jakku is a remote, sparsely populated desert planet in the Star Wars universe, known for its starship graveyards and as the place where Rey grew up scavenging.
-
B.
Jaku
Jaku is a lesser-known Bantu language belonging to the Jarawan subgroup, spoken by a small community in West Africa.
-
C.
Jinbe
Jinbe is a powerful whale shark fish-man and former Warlord of the Sea in the One Piece series, known for his Fish-Man Karate and loyalty to Luffy and the Straw Hat Pirates.
-
D.
Koshun
Koshun is a music producer known for working on projects associated with the artist Amala.
-
E.
Korugar
Korugar is a fictional planet in the DC Comics universe best known as the authoritarian-ruled homeworld of the former Green Lantern and later villain Sinestro.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c627724881909cf63c67d64321e8 |
completed | April 20, 2026, 6:22 a.m. |
Created at: April 10, 2026, 11:58 a.m.