Triple
T115579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jallianwala Bagh massacre 1919 |
E2330
|
entity |
| Predicate | day |
P1936
|
FINISHED |
| Object | 13 April 1919 |
—
|
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: 13 April 1919 | Statement: [Jallianwala Bagh massacre 1919, day, 13 April 1919]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: day Context triple: [Jallianwala Bagh massacre 1919, day, 13 April 1919]
-
A.
date
Indicates that two entities are engaged in or participate in a romantic or social outing or relationship with each other.
-
B.
observesDay
Indicates that an entity recognizes, commemorates, or practices a particular day (such as a holiday, event, or observance) according to some calendar or tradition.
-
C.
year
Indicates the specific calendar year associated with an entity, event, or fact.
-
D.
season
Indicates that an entity participates in, is associated with, or occurs during a particular season or seasonal period.
-
E.
time
chosen
Indicates a temporal relationship specifying when an event occurs or how entities are ordered or related in time.
- 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.