Triple
T1152215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 9 of the Constitution of Japan |
E23699
|
entity |
| Predicate | hasTwoParagraphs |
P25345
|
FINISHED |
| Object | Paragraph 1 on renunciation of war |
—
|
LITERAL 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: Paragraph 1 on renunciation of war | Statement: [Article 9 of the Constitution of Japan, hasTwoParagraphs, Paragraph 1 on renunciation of war]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTwoParagraphs Context triple: [Article 9 of the Constitution of Japan, hasTwoParagraphs, Paragraph 1 on renunciation of war]
-
A.
hasProseAndVerse
Indicates that something contains both prose and verse forms within it.
-
B.
hasPar
Indicates a relationship where one entity has another entity as its parent.
-
C.
hasMultipleVerses
Indicates that something, typically a song, poem, or text, consists of more than one verse.
-
D.
hasSect
Indicates that an entity includes, contains, or is associated with a particular sect or subgroup within a larger religious, ideological, or organizational context.
-
E.
numberOfMainTexts
Indicates the quantity of primary or main textual components associated with an entity.
- F. None of above. chosen
Provenance (4 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc8d2dd8819081c779d408c2651d |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb50d19c81908a98dbbb04a8906f |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bc47fce48190825d3a877251f789 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:44 p.m.