Triple
T3091484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanyo Shinkansen |
E64491
|
entity |
| Predicate | openedSectionDate |
P22100
|
FINISHED |
| Object | 1972-03-15 |
—
|
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: 1972-03-15 | Statement: [Sanyo Shinkansen, openedSectionDate, 1972-03-15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedSectionDate Context triple: [Sanyo Shinkansen, openedSectionDate, 1972-03-15]
-
A.
openedAt
Indicates that an entity began operating, became accessible, or was first made available at a specific time or date.
-
B.
openedSectionBetween
Indicates that one entity has created or established an open section, gap, or interval between itself and another entity.
-
C.
firstOpenedAt
chosen
Indicates the date and time at which something was initially opened for the first time.
-
D.
openedInSections
Indicates that something has been opened or made accessible in multiple distinct sections or parts.
-
E.
openedAfter
Indicates that one entity was opened at a later time than another entity.
- F. None of above.
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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada20eeee88190a5eecfce10e3848c |
completed | March 8, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69ad9ded78f881908be6fc0fb7c35764 |
completed | March 8, 2026, 4:03 p.m. |
Created at: March 8, 2026, 3:03 p.m.