Triple
T17951819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakshatras |
E448848
|
entity |
| Predicate | typicalIndividualSpan |
P18065
|
FINISHED |
| Object | 13 degrees 20 minutes |
—
|
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: 13 degrees 20 minutes | Statement: [Nakshatras, typicalIndividualSpan, 13 degrees 20 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalIndividualSpan Context triple: [Nakshatras, typicalIndividualSpan, 13 degrees 20 minutes]
-
A.
typicalPeriod
Indicates the usual or characteristic time interval or duration associated with an event, process, or state.
-
B.
typicalMaximumAge
Indicates the usual upper age limit that an entity is expected or allowed to reach under normal conditions.
-
C.
typicalLength
chosen
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
D.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
E.
typicalAge
Indicates the usual or characteristic age associated with an entity, event, or condition.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afac95048190a5d1ef012899c62b |
completed | April 19, 2026, 10:34 a.m. |
| PD | Predicate disambiguation | batch_69e3f8f2bd088190b1e22ad4d9cc8b13 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:21 a.m.