Triple
T4590076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lion of Punjab |
E103461
|
entity |
| Predicate | timeOfUsage |
P4341
|
FINISHED |
| Object | during and after Maharaja Ranjit Singh’s reign |
—
|
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: during and after Maharaja Ranjit Singh’s reign | Statement: [Lion of Punjab, timeOfUsage, during and after Maharaja Ranjit Singh’s reign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfUsage Context triple: [Lion of Punjab, timeOfUsage, during and after Maharaja Ranjit Singh’s reign]
-
A.
durationOfUse
Indicates the length of time for which something is used or remains in use.
-
B.
inUseSince
Indicates that an entity has been actively in use starting from a specified point in time.
-
C.
usagePeak
Indicates that the usage or consumption of something reaches its highest level or intensity during a particular time or condition.
-
D.
usedSince
Indicates that an entity has been in use starting from a specified point in time and continuing thereafter.
-
E.
usedDuring
chosen
Indicates that one entity is employed, applied, or active in the course of another entity’s process, event, or time period.
- 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_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd592232888190af33c47636ca835d |
completed | March 20, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69bd522acbcc8190bf24d9517793a2c1 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:11 p.m.