Triple
T1479477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIT Center for Real Estate |
E30917
|
entity |
| Predicate | hasTypeOfOutput |
P92
|
FINISHED |
| Object | academic research |
—
|
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: academic research | Statement: [MIT Center for Real Estate, hasTypeOfOutput, academic research]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfOutput Context triple: [MIT Center for Real Estate, hasTypeOfOutput, academic research]
-
A.
hasOutputType
chosen
Indicates that an entity produces, returns, or yields a result of a specified type.
-
B.
hasOutputStructure
Indicates that an entity produces, defines, or is associated with a particular structural form or arrangement as its output.
-
C.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
D.
hasFeedbackType
Indicates that an entity is associated with a specific category or type of feedback it provides or receives.
-
E.
hasFlowType
Indicates the type or category of flow associated with or exhibited by an entity.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c6739d2481909ea8d8e075f62cf3 |
completed | March 1, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69a4c484e52c81908948ff8c0a42751b |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:11 p.m.