Triple
T10130879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ardgour |
E226334
|
entity |
| Predicate | hasFerryConnectionTo |
P1831
|
FINISHED |
| Object | Corran |
E680124
|
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: Corran | Statement: [Ardgour, hasFerryConnectionTo, Corran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corran Context triple: [Ardgour, hasFerryConnectionTo, Corran]
-
A.
Corran
chosen
Corran is a small settlement and ferry crossing point on the shores of Loch Linnhe in the Scottish Highlands.
-
B.
Bestine
Bestine is a prominent desert settlement on the planet Tatooine, serving as its capital and a key hub of political and economic activity in the Star Wars universe.
-
C.
Kyle Katarn
Kyle Katarn is a former Imperial officer turned mercenary and Jedi who plays a central role in the Star Wars expanded universe, particularly in the Dark Forces and Jedi Knight video game series.
-
D.
Baylan Skoll
Baylan Skoll is a former Jedi turned mercenary Force user who serves as a primary antagonist in the Star Wars: Ahsoka series.
-
E.
Qi'ra
Qi'ra is a central character in the Star Wars universe, known as Han Solo’s enigmatic former love interest who rises to power in the criminal underworld.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd33438988190be45878f98695816 |
completed | April 2, 2026, 2:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc8462ac81908485115bcf2a2d19 |
completed | April 5, 2026, 8:56 p.m. |
Created at: March 30, 2026, 9:05 p.m.