Triple
T371322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollywood and Highland Center |
E8274
|
entity |
| Predicate | ownershipStatus |
P7585
|
FINISHED |
| Object | commercial real estate property |
—
|
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: commercial real estate property | Statement: [Hollywood and Highland Center, ownershipStatus, commercial real estate property]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownershipStatus Context triple: [Hollywood and Highland Center, ownershipStatus, commercial real estate property]
-
A.
ownershipType
chosen
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
B.
ownedBy
Indicates that one entity possesses legal or rightful ownership of another entity.
-
C.
ownsPropertyIn
Indicates that one entity possesses legal ownership rights over property located within a specified place or jurisdiction.
-
D.
usesTrackOwnedBy
Indicates that an entity makes use of a track (e.g., route, path, or rail line) that is owned by another specified entity.
-
E.
autonomyStatus
Indicates the degree to which an entity operates independently or with self-governed control, without external direction or intervention.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec00785481908551fc3571fcca47 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e960d880819084b3df4e5137a1e2 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.