Triple
T115598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jallianwala Bagh massacre 1919 |
E2330
|
entity |
| Predicate | firingDuration |
P302
|
FINISHED |
| Object | about 10 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: about 10 minutes | Statement: [Jallianwala Bagh massacre 1919, firingDuration, about 10 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firingDuration Context triple: [Jallianwala Bagh massacre 1919, firingDuration, about 10 minutes]
-
A.
runtimeMinutes
Indicates the total duration of something, typically a media work or process, measured in minutes.
-
B.
timePeriod
chosen
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
C.
focusPeriod
Indicates the specific time span during which attention, activity, or analysis is concentrated on something.
-
D.
inForceUntil
Indicates that a condition, rule, or agreement remains valid and operative up to a specified time or event.
-
E.
flightDuration
Indicates the length of time that a specific flight takes from departure to arrival.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a257845c548190bfb49409988d1c57 |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a256456d908190b52c937fe6c4343f |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.