Triple
T16624402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jak II |
E403909
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Haven City |
E403912
|
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: Haven City | Statement: [Jak II, setting, Haven City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haven City Context triple: [Jak II, setting, Haven City]
-
A.
Haven City
chosen
Haven City is a heavily fortified, dystopian metropolis in the Jak and Daxter video game series, known for its oppressive regime, advanced technology, and constant conflict with invading forces.
-
B.
Redshore City
Redshore City is a glitzy, entertainment-focused metropolis in the animated film "Sing 2," inspired by places like Las Vegas and Hollywood.
-
C.
Hawken
Hawken is a surname and given name of English origin, used as a variant of Hawkins.
-
D.
Rivet City
Rivet City is a massive, fortified settlement built inside a derelict aircraft carrier in the post-apocalyptic world of Fallout 3, serving as a major hub of trade, science, and human civilization in the Capital Wasteland.
-
E.
Seahaven
Seahaven is the idyllic, meticulously controlled fictional town where the protagonist unknowingly lives inside a televised reality show in the film "The Truman Show."
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37550ee308190931fd50aeebe1e7e |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007db866e48190886aec7658835543 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.