Triple
T804763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | X |
E17404
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | X Corp. |
E3334
|
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: X Corp. | Statement: [X, ownedBy, X Corp.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: X Corp. Context triple: [X, ownedBy, X Corp.]
-
A.
X Corp.
chosen
X Corp. is Elon Musk’s rebranded parent company of the social media platform X (formerly Twitter), overseeing his broader vision for an “everything app” and related technology ventures.
-
B.
John Company
John Company is a historical nickname for the British East India Company, the powerful trading corporation that played a central role in establishing British rule in India.
-
C.
Carrier Corporation
Carrier Corporation is a leading global manufacturer of heating, ventilation, air conditioning (HVAC), and refrigeration systems.
-
D.
P Company
P Company is the notoriously demanding selection course used to assess and prepare candidates for service in the British Army’s Parachute Regiment.
-
E.
Cubic Corporation
Cubic Corporation is a technology-driven defense and transportation solutions company known for providing fare collection systems, training, and mission support services to governments and transit agencies worldwide.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aabff3d88190bec4299fa0d87df0 |
completed | March 1, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a68926c04081908923a7d114d1842d |
completed | March 3, 2026, 7:09 a.m. |
Created at: March 1, 2026, 7:38 p.m.