Triple
T11364723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TravelCenters of America |
E269172
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
TA
TA is the stock ticker symbol for TravelCenters of America, a major U.S. operator of highway travel centers and truck stops.
|
E921565
|
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: TA | Statement: [TravelCenters of America, tickerSymbol, TA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TA Context triple: [TravelCenters of America, tickerSymbol, TA]
-
A.
TA
TA is a common abbreviation for the Territorial Army, a volunteer reserve force that supports a country's regular armed forces.
-
B.
TA
TA is the standard abbreviation for *Transforming Anthropology*, a peer-reviewed academic journal focusing on critical and innovative scholarship in anthropology.
-
C.
TA
TA is the postcode area in southwest England that covers Taunton and surrounding towns including Minehead.
-
D.
TA
TA is a studio album by the American post-rock band Trans Am, showcasing their blend of experimental rock, electronic, and krautrock influences.
-
E.
TA
TA is the commonly used abbreviation for Tennis Australia, the governing body for the sport of tennis in Australia.
- 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: TA Triple: [TravelCenters of America, tickerSymbol, TA]
Generated description
TA is the stock ticker symbol for TravelCenters of America, a major U.S. operator of highway travel centers and truck stops.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TA Target entity description: TA is the stock ticker symbol for TravelCenters of America, a major U.S. operator of highway travel centers and truck stops.
-
A.
TA
chosen
TA is a chain of full-service travel centers and truck stops across the United States, offering fuel, food, and amenities for professional drivers and motorists.
-
B.
TA
TA is the IATA airline designator assigned to TACA Airlines, a major Central American carrier that later merged into Avianca.
-
C.
TA
TA is a common abbreviation for the Territorial Army, a volunteer reserve force that supports a country's regular armed forces.
-
D.
TA
TA is the commonly used abbreviation for Tennis Australia, the governing body for the sport of tennis in Australia.
-
E.
TA
TA is the standard abbreviation for *Transforming Anthropology*, a peer-reviewed academic journal focusing on critical and innovative scholarship in anthropology.
- F. None of above.
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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea4589908190948a8225768e1eec |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58bb3bd648190affa7ee85027c958 |
completed | April 20, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69e59323c5948190bc2c9512f7b0a54f |
completed | April 20, 2026, 2:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e599c53704819097c0fdbbfbbb1e87 |
completed | April 20, 2026, 3:13 a.m. |
Created at: April 8, 2026, 9:33 p.m.