Triple
T11975364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muromachi district of Kyoto |
E285025
|
entity |
| Predicate | timePeriodAsCenterFrom |
P35135
|
FINISHED |
| Object | 1336 |
—
|
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: 1336 | Statement: [Muromachi district of Kyoto, timePeriodAsCenterFrom, 1336]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodAsCenterFrom Context triple: [Muromachi district of Kyoto, timePeriodAsCenterFrom, 1336]
-
A.
timePeriodOrigin
Indicates that one entity is the time period in which the other entity originated or first came into existence.
-
B.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
C.
timePeriodWithin
Indicates that one time period is entirely contained within the bounds of another time period.
-
D.
timePeriodAsMainHeadquartersStart
Indicates the point in time when a location first became the main headquarters for an entity.
-
E.
focusPeriodStart
chosen
Indicates the point in time at which a specified focus period or interval begins.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903926690819090e7ce982f103457 |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:46 p.m.