Triple
T37043015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 359th Infantry Regiment |
E916831
|
entity |
| Predicate | nicknameOfDivision |
P186934
|
FINISHED |
| Object | Tough 'Ombres |
—
|
NE NERFINISHED |
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: Tough 'Ombres | Statement: [359th Infantry Regiment, nicknameOfDivision, Tough 'Ombres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknameOfDivision Context triple: [359th Infantry Regiment, nicknameOfDivision, Tough 'Ombres]
-
A.
teamDivision
Indicates how a larger team is split into smaller subgroups or units for organization or collaboration.
-
B.
gameDivision
Indicates a hierarchical or categorical separation of a game into distinct parts, sections, or groups.
-
C.
notableTeamNickname
Indicates that a team is commonly known by a particular nickname that is notable or widely recognized.
-
D.
notableDivision
Indicates that one entity is a significant or prominent subdivision, branch, or section of another entity.
-
E.
leagueName
Indicates the official name assigned to a particular sports league or competitive organization.
- 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb154b5f8c819089103b41f51a1639 |
completed | May 6, 2026, 10:17 a.m. |
Created at: May 3, 2026, 4:14 p.m.