Triple
T16059356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Kōya |
E389565
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Danjo Garan |
E1158091
|
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: Danjo Garan | Statement: [Mount Kōya, hasPart, Danjo Garan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danjo Garan Context triple: [Mount Kōya, hasPart, Danjo Garan]
-
A.
Danjo Garan
chosen
Danjo Garan is a central sacred temple complex on Mount Koya in Japan, founded by the monk Kūkai and serving as one of the core sites of Shingon Buddhism.
-
B.
Gararu
Gararu is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its rural economy and proximity to the São Francisco River.
-
C.
Jashugan
Jashugan is a legendary and fearsome Motorball champion in the manga series "Gunnm" (also known as "Battle Angel Alita"), renowned for his unmatched combat prowess and imposing presence.
-
D.
Ragiwara
Ragiwara is a residential neighborhood located within Lyari Town in Karachi, Pakistan.
-
E.
Jeriba Shigan
Jeriba Shigan is a Drac alien pilot who becomes an unlikely ally and close companion to a human soldier in the science fiction story "Enemy Mine."
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837729e4819086e7429e0a76b0d7 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe678fc8190b36737a9cd29691c |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:57 a.m.