Triple
T34404396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Headquarters and Headquarters Company |
E883068
|
entity |
| Predicate | includesStaffSection |
P478
|
FINISHED |
| Object | S1 personnel section |
—
|
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: S1 personnel section | Statement: [Headquarters and Headquarters Company, includesStaffSection, S1 personnel section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesStaffSection Context triple: [Headquarters and Headquarters Company, includesStaffSection, S1 personnel section]
-
A.
staffIncluded
chosen
Indicates that staff members are included or provided as part of the associated entity, service, or arrangement.
-
B.
hasStaffAreas
Indicates that an entity includes or is associated with designated areas intended for staff use.
-
C.
usesStaffCategory
Indicates that an entity employs or applies a particular category or classification of staff in its operations or context.
-
D.
includesStatusSection
Indicates that something contains or provides a dedicated section for displaying status information.
-
E.
hasGeneralStaff
Indicates that an entity has, is associated with, or is served by a general staff body responsible for overall strategic or administrative functions.
- 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:59 a.m.