Triple
T18674839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2/2nd Independent Company |
E456571
|
entity |
| Predicate | facedCondition |
P24157
|
FINISHED |
| Object | isolation behind Japanese lines on Timor |
—
|
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: isolation behind Japanese lines on Timor | Statement: [2/2nd Independent Company, facedCondition, isolation behind Japanese lines on Timor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facedCondition Context triple: [2/2nd Independent Company, facedCondition, isolation behind Japanese lines on Timor]
-
A.
facedBy
Indicates that one entity is oriented toward and directly opposite another entity, such that it is facing it.
-
B.
presentCondition
chosen
Indicates that an entity currently has or exhibits a particular state, situation, or condition.
-
C.
facedEvent
Indicates that an entity directly encountered, experienced, or dealt with a particular event.
-
D.
facedChange
Indicates that an entity has encountered and had to deal with a modification, challenge, or transition affecting its prior state or circumstances.
-
E.
targetedCondition
Indicates that an action, intervention, or entity is specifically directed toward affecting, treating, or addressing a particular condition.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b4e390819091ad9dd118ca1f4f |
completed | April 19, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69e478db7a248190a8c6584673773923 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:48 a.m.