Triple
T5786987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shard Quarter |
E128290
|
entity |
| Predicate | hasOfficeOccupants |
P36133
|
FINISHED |
| Object | media companies |
—
|
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: media companies | Statement: [Shard Quarter, hasOfficeOccupants, media companies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficeOccupants Context triple: [Shard Quarter, hasOfficeOccupants, media companies]
-
A.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
-
B.
hasEmployees
chosen
Indicates that one entity employs one or more other entities as its workers or staff.
-
C.
fieldOfficePresence
Indicates that an entity maintains a physical field office or on-the-ground operational presence in a particular location or jurisdiction.
-
D.
hasColleagueOffice
Indicates that one entity has an office that is shared with or located near the office of another colleague entity.
-
E.
hasOfficeType
Indicates that an entity’s office is classified as a specific type or category of office.
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a1c29d48190af36cc855bb491dd |
completed | March 22, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69c021d2cd608190b98a7e3aa7001d27 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:51 p.m.