Triple
T2698612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America’s Expeditionary Force in Readiness |
E58573
|
entity |
| Predicate | describesPosture |
P42040
|
FINISHED |
| Object | forward-deployed |
—
|
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: forward-deployed | Statement: [America’s Expeditionary Force in Readiness, describesPosture, forward-deployed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesPosture Context triple: [America’s Expeditionary Force in Readiness, describesPosture, forward-deployed]
-
A.
proceduralPosture
Indicates the current stage or status of a legal case within the judicial or administrative process at the time it is being considered or described.
-
B.
showsPose
Indicates that one entity displays or presents a particular pose or bodily posture of another entity.
-
C.
hasLiturgicalPosture
Indicates that an entity is associated with a specific bodily posture or position used in a liturgical or religious ritual context.
-
D.
safetyPositioning
Indicates the spatial or situational arrangement of entities to ensure or enhance safety.
-
E.
legOrientation
Indicates the relative positioning or directional alignment of an entity’s leg(s) with respect to a reference frame or another object.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda339cf48190b9ae6b99137f005e |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd9ceec708190aa162399023b2273 |
completed | March 7, 2026, 7:54 a.m. |
Created at: March 6, 2026, 9:55 p.m.