Triple
T37267312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hill+Knowlton Strategies |
E924419
|
entity |
| Predicate | hasNumberOfOffices |
P11464
|
FINISHED |
| Object | 80+ |
—
|
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: 80+ | Statement: [Hill+Knowlton Strategies, hasNumberOfOffices, 80+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfOffices Context triple: [Hill+Knowlton Strategies, hasNumberOfOffices, 80+]
-
A.
numberOfOffices
chosen
Indicates the total count of offices associated with a given entity.
-
B.
hasNumberOfRegionalOffices
Indicates the quantity of regional offices that an entity possesses or operates.
-
C.
numberOfCountryOffices
Indicates the total count of offices or branches that an organization maintains across different countries.
-
D.
hasAdministrativeOfficesOf
Indicates that one entity serves as the location or holder of the administrative offices belonging to another entity.
-
E.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
- 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_69f76eacdd8c819094080d3991e6d37c |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff255b84788190a94682f4efe1d0b8 |
completed | May 9, 2026, 12:15 p.m. |
| PD | Predicate disambiguation | batch_69ff24f3ab108190bb017a656cff3d82 |
completed | May 9, 2026, 12:13 p.m. |
Created at: May 3, 2026, 4:15 p.m.