Triple
T32987960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Applied Global Services |
E843998
|
entity |
| Predicate | roleWithinAppliedMaterials |
P175463
|
FINISHED |
| Object | services and aftermarket support |
—
|
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: services and aftermarket support | Statement: [Applied Global Services, roleWithinAppliedMaterials, services and aftermarket support]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleWithinAppliedMaterials Context triple: [Applied Global Services, roleWithinAppliedMaterials, services and aftermarket support]
-
A.
roleInIndustry
Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
-
B.
roleWithinDaimler
Indicates that one entity holds or has held a specific role, position, or function within the Daimler organization.
-
C.
roleWithinRaytheon
Indicates that one entity holds or has held a specific role, position, or function within the organization Raytheon.
-
D.
roleInAramco
Indicates that an entity holds or has held a specific role, position, or function within the organization Aramco.
-
E.
hasIndustryRole
Indicates that an entity holds or performs a specific role, function, or position within a particular industry or sector.
- 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_69f3494c6f9c8190a255409fce8b1d3b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d1e3d480819085eb940623e8c3d6 |
completed | May 3, 2026, 4:41 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: May 1, 2026, 1:22 a.m.