Triple
T15712793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Simon |
E380879
|
entity |
| Predicate | typeOfBusinessLed |
P30266
|
FINISHED |
| Object | publicly traded real estate investment trust |
—
|
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: publicly traded real estate investment trust | Statement: [David Simon, typeOfBusinessLed, publicly traded real estate investment trust]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfBusinessLed Context triple: [David Simon, typeOfBusinessLed, publicly traded real estate investment trust]
-
A.
hasTypeOfBusinesses
Indicates that an entity is associated with or contains specific categories or kinds of businesses.
-
B.
eligibleBusinessType
Indicates that a business entity qualifies under specified criteria to be considered an eligible type for a particular program, rule, or context.
-
C.
organizationTypeLed
chosen
Indicates that an entity holds a leadership role over an organization of a specified type.
-
D.
stateOfBusiness
Indicates the current operational or financial condition or status of a business at a given point in time.
-
E.
issuerBusinessType
Indicates the category or nature of business activity that the issuing entity is engaged in.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f8f5d6081908243fa59b46b7c76 |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:45 a.m.