Triple
T38086019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honnō-ji |
E950978
|
entity |
| Predicate | hasNameInJapanese |
P28734
|
FINISHED |
| Object |
本能寺
本能寺は、1582年の本能寺の変で織田信長が自害に追い込まれたことで知られる、京都市中京区にある臨済宗の寺院です。
|
E2255315
|
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: 本能寺 | Statement: [Honnō-ji, hasNameInJapanese, 本能寺]
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: 本能寺 Triple: [Honnō-ji, hasNameInJapanese, 本能寺]
Generated description
本能寺は、1582年の本能寺の変で織田信長が自害に追い込まれたことで知られる、京都市中京区にある臨済宗の寺院です。
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_69f76f03a3608190a73fd6df87c792a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc456f33048190a303b87c366a64c8 |
completed | May 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a415d4e5ed08190aba5e551ebc39dc5 |
completed | June 28, 2026, 5:43 p.m. |
| NEDg | Description generation | batch_6a415f6d500881909d9e9bf416e0e6ab |
completed | June 28, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a415fdcafc08190b6a6d744e2f23a8a |
completed | June 28, 2026, 5:54 p.m. |
Created at: May 3, 2026, 4:21 p.m.