Triple
T4022255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Serbia |
E91304
|
entity |
| Predicate | headOfCompanyTitle |
P36552
|
FINISHED |
| Object | Chief Executive Officer |
—
|
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: Chief Executive Officer | Statement: [Air Serbia, headOfCompanyTitle, Chief Executive Officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headOfCompanyTitle Context triple: [Air Serbia, headOfCompanyTitle, Chief Executive Officer]
-
A.
officeHolderTitle
Indicates the official position or title held by a person in an office or role.
-
B.
headOfHouseTitle
Indicates the formal title held by the person who serves as the head of a particular house or household.
-
C.
titleOrRole
Indicates that one entity serves as the title, position, or role held or described by another entity.
-
D.
hasExecutiveHeadTitle
chosen
Indicates the official job title held by the person who serves as the executive head of an organization or entity.
-
E.
titleHolderName
Indicates the name of the person or entity that holds a particular title or position.
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaccb2f48190a16a1ba6e938da85 |
completed | March 9, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69aef8fc78ec819092d4dab88d85a141 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:35 p.m.