Triple
T3165022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logan Green |
E66189
|
entity |
| Predicate | entrepreneurialDomain |
P46461
|
FINISHED |
| Object | on-demand transportation |
—
|
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: on-demand transportation | Statement: [Logan Green, entrepreneurialDomain, on-demand transportation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entrepreneurialDomain Context triple: [Logan Green, entrepreneurialDomain, on-demand transportation]
-
A.
entrepreneurialFocus
Indicates a relationship where an entity prioritizes or emphasizes entrepreneurial activities, initiatives, or mindset in its behavior or strategy.
-
B.
businessVenture
Indicates a relationship where entities jointly engage in, operate, or are involved with a commercial or entrepreneurial undertaking.
-
C.
typeOfEntrepreneur
Indicates the specific category or kind of entrepreneur that an entity is classified as.
-
D.
notableBusinessType
Indicates that an entity is notably associated with, characterized by, or best known for a particular type of business.
-
E.
businessBase
Indicates that one entity serves as the primary business foundation, core location, or main operational base for another entity.
- F. None of above. chosen
Provenance (4 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6424ee48190a29891ffbbc3811d |
completed | March 8, 2026, 4:39 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfe0a948190928f2201d671c654 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada148e9108190b363dd0f1a94ac8e |
completed | March 8, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:06 p.m.