Triple
T16127985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smoot Construction |
E391320
|
entity |
| Predicate | roleInJointVenture |
P106953
|
FINISHED |
| Object | construction partner |
—
|
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: construction partner | Statement: [Smoot Construction, roleInJointVenture, construction partner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInJointVenture Context triple: [Smoot Construction, roleInJointVenture, construction partner]
-
A.
roleInBusinessVenture
chosen
Indicates that an entity holds a specific role or position within a particular business venture or entrepreneurial undertaking.
-
B.
roleInOperation
Indicates that an entity holds a specific function, duty, or position within a particular operation or activity.
-
C.
collaboratorRole
Indicates the specific function, position, or capacity in which one collaborator participates in a shared activity or project with another.
-
D.
engagementRole
Indicates the specific function, capacity, or responsibility an entity assumes within a particular engagement or interaction.
-
E.
hasJointVenturePartner
Indicates that an entity is engaged in a joint venture relationship with another entity as a formal business partner.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20206a6f08190aa648d2bb11e7878 |
completed | April 17, 2026, 9:48 a.m. |
| PD | Predicate disambiguation | batch_69e1828518c48190a8ef3aaa46a1f639 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5 a.m.