Triple
T21190705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RTX Corporation |
E522203
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object | RTX |
—
|
NE NERFINISHED |
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: RTX | Statement: [RTX Corporation, tickerSymbol, RTX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RTX Context triple: [RTX Corporation, tickerSymbol, RTX]
-
A.
RTX
RTX is a rock band formed by Jennifer Herrema after the breakup of the experimental rock duo Royal Trux.
-
B.
RTX
chosen
RTX is a major American aerospace and defense company formed from the merger of Raytheon Company and United Technologies Corporation, known for its advanced military, aviation, and cybersecurity technologies.
-
C.
RTX
RTX is NVIDIA's line of graphics technologies and products centered on real-time ray tracing and advanced GPU performance for gaming and professional visualization.
-
D.
NVIDIA GeForce RTX 40 series
The NVIDIA GeForce RTX 40 series is a family of high-end graphics cards based on the Ada Lovelace architecture, designed for advanced gaming, ray tracing, and AI-accelerated workloads.
-
E.
GTX
GTX is the fictional corporate employer featured in the film "The Company Men," where Chris Cooper’s character Phil Woodward works.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e733372b488190920174955b4b9172 |
completed | April 21, 2026, 8:20 a.m. |
Created at: April 16, 2026, 3:07 p.m.