Triple
T10496591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Army National Guard |
E247551
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
TXARNG
TXARNG is the commonly used abbreviation for the Texas Army National Guard, the land warfare component of the Texas Military Forces.
|
E867128
|
NE FINISHED |
How this triple was built (4 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: TXARNG | Statement: [Texas Army National Guard, nickname, TXARNG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TXARNG Context triple: [Texas Army National Guard, nickname, TXARNG]
-
A.
TXK
TXK is the IATA airport code for Texarkana Regional Airport, which serves the Texarkana area in Texas and Arkansas.
-
B.
TXP
TXP is the station code used to identify Tianjin West Railway Station in China’s railway network.
-
C.
XRX
XRX is the stock ticker symbol for Xerox Holdings Corporation, an American company known for its document management technologies and printing solutions.
-
D.
TMX Shorcan
TMX Shorcan is a Canadian inter-dealer broker specializing in fixed-income and money market products, operating as part of the TMX Group’s financial markets infrastructure.
-
E.
TRAX
TRAX is the light rail system serving the Salt Lake City metropolitan area along Utah’s Wasatch Front.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TXARNG Triple: [Texas Army National Guard, nickname, TXARNG]
Generated description
TXARNG is the commonly used abbreviation for the Texas Army National Guard, the land warfare component of the Texas Military Forces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TXARNG Target entity description: TXARNG is the commonly used abbreviation for the Texas Army National Guard, the land warfare component of the Texas Military Forces.
-
A.
TXK
TXK is the IATA airport code for Texarkana Regional Airport, which serves the Texarkana area in Texas and Arkansas.
-
B.
TXP
TXP is the station code used to identify Tianjin West Railway Station in China’s railway network.
-
C.
XRX
XRX is the stock ticker symbol for Xerox Holdings Corporation, an American company known for its document management technologies and printing solutions.
-
D.
TMX Shorcan
TMX Shorcan is a Canadian inter-dealer broker specializing in fixed-income and money market products, operating as part of the TMX Group’s financial markets infrastructure.
-
E.
TRAX
TRAX is the light rail system serving the Salt Lake City metropolitan area along Utah’s Wasatch Front.
- F. None of above. chosen
Provenance (5 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098cd82c8190b44127a66c9c75ae |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dcbafe9481908fb23cfdf150adac |
completed | April 10, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69d8e8c8e360819085376d4c4ea9712d |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901fecee88190999e88ca2e56a516 |
completed | April 10, 2026, 1:58 p.m. |
Created at: April 6, 2026, 12:24 p.m.