Triple
T15442413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaza |
E369937
|
entity |
| Predicate | nearbyPlace |
P2064
|
FINISHED |
| Object | Komic |
E443100
|
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: Komic | Statement: [Kaza, nearbyPlace, Komic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Komic Context triple: [Kaza, nearbyPlace, Komic]
-
A.
Komic
chosen
Komic is a remote high-altitude village in Himachal Pradesh’s Spiti Valley, known as one of the world’s highest motorable settlements and home to an ancient Buddhist monastery.
-
B.
Kuso
Kuso is a surreal, experimental horror-comedy film directed by musician and filmmaker Flying Lotus, known for its grotesque imagery and fragmented, post-apocalyptic narrative.
-
C.
Kom
Kom is an ethnic group and kingdom in northwestern Cameroon known for its rich cultural traditions, language, and chieftaincy system.
-
D.
Comanechi
Comanechi is a British noise-punk/garage rock band known for its raw, abrasive sound and underground cult following.
-
E.
Com
Com is a small coastal village in eastern Timor-Leste known for its beaches, fishing community, and growing eco-tourism.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef55f5c8190a32b1b6ad1daf454 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21ab80288190a1a4df8b714bba66 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:21 a.m.