Triple
T22631458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Harishchandra |
E558564
|
entity |
| Predicate | undergoesTrial |
P148999
|
FINISHED |
| Object | loss of kingdom |
—
|
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: loss of kingdom | Statement: [King Harishchandra, undergoesTrial, loss of kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: undergoesTrial Context triple: [King Harishchandra, undergoesTrial, loss of kingdom]
-
A.
onTrialFor
Indicates that a person is currently being legally prosecuted or judged in court for a specific alleged offense or charge.
-
B.
bearUndergoesTrialWith
Indicates that a bear is subjected to or participates in a formal trial, test, or legal proceeding together with another specified party.
-
C.
trialAfter
Indicates that one trial or legal proceeding occurs subsequent to another in time or sequence.
-
D.
trialHeld
Indicates that a formal legal proceeding or court trial has taken place regarding a particular case or dispute.
-
E.
trialName
Indicates the designated name or title assigned to a specific trial.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17009ecb0819082f94505b0e2c5b8 |
completed | April 29, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:02 p.m.