Triple
T9019075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Balikpapan (1945) |
E215666
|
entity |
| Predicate | monthOfMainLanding |
P85739
|
FINISHED |
| Object | July 1945 |
—
|
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: July 1945 | Statement: [Battle of Balikpapan (1945), monthOfMainLanding, July 1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monthOfMainLanding Context triple: [Battle of Balikpapan (1945), monthOfMainLanding, July 1945]
-
A.
monthObserved
Indicates the month during which an event, observation, or measurement took place.
-
B.
monthName6
Indicates that the related value or entity corresponds to the sixth month of the year (June) by name.
-
C.
announcedInMonth
Indicates that an announcement or declaration occurred during a specified calendar month.
-
D.
typicalMonthOfOccurrence
Indicates the month in which something most commonly or typically occurs.
-
E.
themeOfMonthNames
Indicates that something serves as the subject, topic, or focus associated with a particular month name or set of month names.
- 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a4085848190a6aa440e6307e93d |
completed | April 1, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69cc5edf84408190aa5f57cb8bfd00e1 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f6dec4081909379bd57c02a5710 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:07 p.m.