Triple
T14524511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Century City |
E340737
|
entity |
| Predicate | hasOfficePark |
P16026
|
FINISHED |
| Object | Century City business precincts |
—
|
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: Century City business precincts | Statement: [Century City, hasOfficePark, Century City business precincts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficePark Context triple: [Century City, hasOfficePark, Century City business precincts]
-
A.
hasBusinessPark
chosen
Indicates that one entity possesses, contains, or is associated with a business park as part of its facilities or properties.
-
B.
hasIndustrialAndOfficeParks
Indicates that an entity possesses or contains designated areas used for industrial facilities and office complexes.
-
C.
hasIndustrialPark
Indicates that a location or entity possesses or contains an industrial park within its area or jurisdiction.
-
D.
hasIndustrialParkName
Indicates that an entity (such as an industrial park or related facility) bears or is identified by a specific industrial park name.
-
E.
hasParkArea
Indicates that an entity includes or is associated with a designated park or recreational area within its boundaries.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea04f16f88190ba357b0f8021b46b |
completed | April 14, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.