Triple
T21252646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latveria |
E523782
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Doomstadt |
—
|
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: Doomstadt | Statement: [Latveria, city, Doomstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doomstadt Context triple: [Latveria, city, Doomstadt]
-
A.
Doomstadt
chosen
Doomstadt is the capital city of the fictional nation Latveria in Marvel Comics, serving as the stronghold and primary base of operations for Doctor Doom.
-
B.
Falkenstein
Falkenstein is a district of the spa town Königstein im Taunus in Hesse, Germany, known for its scenic location in the Taunus mountains and historic castle ruins.
-
C.
Krimson City
Krimson City is a dark, nightmarish urban environment central to the events of the survival horror game series The Evil Within.
-
D.
Blackthorn City
Blackthorn City is a mountainous, late-game Pokémon city in the Johto region, best known for its Dragon-type Gym and proximity to the Ice Path.
-
E.
Vault City
Vault City is a heavily regulated, xenophobic, and technologically advanced city-state in Fallout 2, known for its strict citizenship laws and reliance on pre-war Vault technology.
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359f5b408190b951adddba83c97a |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:57 p.m.