Triple
T37703436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bladensburg Road near Centreville |
E939129
|
entity |
| Predicate | associatedWithBelligerent |
P10155
|
FINISHED |
| Object | United States (Union) |
E14
|
NE 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: United States (Union) | Statement: [Bladensburg Road near Centreville, associatedWithBelligerent, United States (Union)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithBelligerent Context triple: [Bladensburg Road near Centreville, associatedWithBelligerent, United States (Union)]
-
A.
belligerentAgainst
Indicates a hostile or aggressive stance, conflict, or antagonistic behavior directed by one entity against another.
-
B.
belligerentFor
Indicates a relationship in which one entity is engaged in hostile or aggressive behavior toward, or in conflict with, another entity.
-
C.
associatedWithWar
Indicates a relationship where an entity is connected or related to war, such as by involvement, influence, cause, or context.
-
D.
allegedBelligerent
Indicates that one entity is claimed or accused of being a hostile or warring party in relation to another entity or conflict.
-
E.
conflictBelligerent
chosen
Indicates that an entity is a participating belligerent (e.g., a country, group, or force) in a specific conflict.
- F. None of above.
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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40fb6a7ec081908471e9302e86775b |
completed | June 28, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.