Triple
T27897917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toda, Saitama |
E705547
|
entity |
| Predicate | cityStatusSince |
P30463
|
FINISHED |
| Object | October 1, 1966 |
—
|
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: October 1, 1966 | Statement: [Toda, Saitama, cityStatusSince, October 1, 1966]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityStatusSince Context triple: [Toda, Saitama, cityStatusSince, October 1, 1966]
-
A.
cityStatusUntil
Indicates the period up to a specified time during which a place holds or held a particular city status.
-
B.
urbanStatusSince
chosen
Indicates the point in time since which an entity has held an urban status or classification.
-
C.
cityStatusYear
Indicates the year in which a place obtained, changed, or was recognized with a particular city status.
-
D.
cityStatusContext
Indicates the contextual status or role that a city holds within a broader administrative, political, or situational framework.
-
E.
cityStatusGrantedIn
Indicates the event or point in time at which an entity was officially granted city status in a particular place or jurisdiction.
- 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_69ef96b490ac8190a412d04c5d009f3e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f639f5d2588190b87fdb14a487d9d8 |
completed | May 2, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69f6318be69481909d1bcf29b7b60eb2 |
completed | May 2, 2026, 5:17 p.m. |
Created at: April 27, 2026, 6:39 p.m.