Triple
T11299194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States forces in the Philippines |
E267531
|
entity |
| Predicate | later |
P1691
|
FINISHED |
| Object | reinvaded and liberated the Philippine Islands in 1944–1945 |
—
|
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: reinvaded and liberated the Philippine Islands in 1944–1945 | Statement: [United States forces in the Philippines, later, reinvaded and liberated the Philippine Islands in 1944–1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: later Context triple: [United States forces in the Philippines, later, reinvaded and liberated the Philippine Islands in 1944–1945]
-
A.
laterIn
Indicates that one event, state, or time point occurs after another in temporal order.
-
B.
after
chosen
Indicates that one event, state, or action occurs later in time than another, following it in temporal order.
-
C.
laterDuration
Indicates that one event or time interval occurs after another and lasts for a specified duration.
-
D.
laterReleased
Indicates that one entity was released at a time chronologically after the release of another entity.
-
E.
laterStatus
Indicates that one entity represents a subsequent or resulting status or condition of another entity 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a3616c8190a8fd23ca67463806 |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787a6ca2c8190afdc24b61ccd3f8a |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.