Triple
T38660742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Māyā |
E940325
|
entity |
| Predicate | deathRelativeTime |
P175378
|
FINISHED |
| Object | about seven days after the Buddha’s birth (according to many traditions) |
—
|
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: about seven days after the Buddha’s birth (according to many traditions) | Statement: [Māyā, deathRelativeTime, about seven days after the Buddha’s birth (according to many traditions)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deathRelativeTime Context triple: [Māyā, deathRelativeTime, about seven days after the Buddha’s birth (according to many traditions)]
-
A.
deathTimeRelative
chosen
Indicates the time of a death expressed relative to another reference time or event, rather than as an absolute timestamp.
-
B.
timeOfDeath
Indicates the specific time at which an entity (typically a person or organism) died.
-
C.
deathInterval
Indicates the time span between an entity’s death and a specified reference point or event.
-
D.
timeSinceSubjectDeath
Indicates the amount of time that has elapsed since the subject died.
-
E.
deathBefore
Indicates that one entity’s death occurred earlier in time than another entity’s death.
- 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce545fec881909247a3af821d21ae |
completed | May 7, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69fce12eaeec81908cf81346b2cef6e0 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:33 p.m.