Triple
T30348142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chichibu, Saitama Prefecture |
E771918
|
entity |
| Predicate | hasPilgrimageRoute |
P38487
|
FINISHED |
| Object |
Chichibu 34 Kannon temples
The Chichibu 34 Kannon temples are a historic Buddhist pilgrimage circuit in Chichibu, Saitama Prefecture, dedicated to Kannon, the bodhisattva of compassion.
|
E1913792
|
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: Chichibu 34 Kannon temples | Statement: [Chichibu, Saitama Prefecture, hasPilgrimageRoute, Chichibu 34 Kannon temples]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chichibu 34 Kannon temples Triple: [Chichibu, Saitama Prefecture, hasPilgrimageRoute, Chichibu 34 Kannon temples]
Generated description
The Chichibu 34 Kannon temples are a historic Buddhist pilgrimage circuit in Chichibu, Saitama Prefecture, dedicated to Kannon, the bodhisattva of compassion.
Provenance (5 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68209227c81909b613d5bc9426038 |
completed | May 2, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a278937c0e081908bbe203f8575a665 |
completed | June 9, 2026, 3:32 a.m. |
| NEDg | Description generation | batch_6a278a5d184081908fbaf650cb44e2b7 |
completed | June 9, 2026, 3:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a278cda6ab8819097cd6e2f0b1124c1 |
completed | June 9, 2026, 3:47 a.m. |
Created at: April 29, 2026, 7:56 p.m.