Triple
T115600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jallianwala Bagh massacre 1919 |
E2330
|
entity |
| Predicate | gatheringPurpose |
P79
|
FINISHED |
| Object | protest against the Rowlatt Act |
—
|
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: protest against the Rowlatt Act | Statement: [Jallianwala Bagh massacre 1919, gatheringPurpose, protest against the Rowlatt Act]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gatheringPurpose Context triple: [Jallianwala Bagh massacre 1919, gatheringPurpose, protest against the Rowlatt Act]
-
A.
purpose
chosen
Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
-
B.
displayOccasion
Indicates the event, context, or situation during which something is presented, shown, or made visible.
-
C.
convenesIn
Indicates that an entity brings together or assembles a group, meeting, or event at a specific place or venue.
-
D.
engagementType
Indicates the specific kind or category of engagement or interaction that occurs between the related entities.
-
E.
collectsFrom
Indicates that one entity gathers, receives, or takes something (such as items, data, or payments) from another entity.
- 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.