Triple
T38620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elon Musk |
E764
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | The Boring Company |
E8411
|
NE 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: The Boring Company | Statement: [Elon Musk, founded, The Boring Company]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Boring Company Context triple: [Elon Musk, founded, The Boring Company]
-
A.
The Boring Company
chosen
The Boring Company is an infrastructure and tunnel construction firm founded by Elon Musk to develop underground transportation systems aimed at reducing urban traffic congestion.
-
B.
SpaceX
SpaceX is a private aerospace manufacturer and space transportation company that designs, builds, and launches advanced rockets and spacecraft, pioneering reusable launch technology.
-
C.
Tesla, Inc.
Tesla, Inc. is an American electric vehicle and clean energy company known for pioneering mass-market electric cars, advanced battery technology, and autonomous driving innovations.
-
D.
Forever Enterprises
Forever Enterprises is the private company that owns and operates the historic Hollywood Forever Cemetery in Los Angeles.
-
E.
AeroTrain
AeroTrain is an automated underground people mover system that transports passengers between terminals at Washington Dulles International Airport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24acd14b48190b80d4329621583df |
completed | Feb. 28, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a266e4c58c81909c75fea51ae16b48 |
completed | Feb. 28, 2026, 3:54 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.