Triple
T17936835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahajanapada period |
E448489
|
entity |
| Predicate | numberOfMahajanapadas |
P129783
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [Mahajanapada period, numberOfMahajanapadas, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMahajanapadas Context triple: [Mahajanapada period, numberOfMahajanapadas, 16]
-
A.
numberOfPadarthas
Indicates the relationship that specifies how many distinct padarthas (categories or entities) are associated with or contained in a given subject.
-
B.
numberOfKshatriyaCampaigns
Indicates the count of distinct military or political campaigns undertaken by Kshatriyas (warrior-ruler class) associated with a given entity.
-
C.
numberOfRegencies
Indicates the count of distinct regencies associated with or applicable to a given entity.
-
D.
numberOfGopurams
Indicates the specific count of gopurams (temple gateway towers) associated with an entity.
-
E.
numberOfTirthankaras
Indicates the specific count of Tirthankaras associated with or attributed to an entity.
- F. None of above. chosen
Provenance (4 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad924f6c8190a0d676dfa20c9918 |
completed | April 19, 2026, 10:25 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:21 a.m.