Triple
T4268045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas A&M Forest Service |
E96871
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
TFS
TFS is the Texas A&M Forest Service, a state agency that manages and protects Texas’s forests and related natural resources.
|
E426078
|
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: TFS | Statement: [Texas A&M Forest Service, abbreviation, TFS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TFS Context triple: [Texas A&M Forest Service, abbreviation, TFS]
-
A.
TFS
TFS is the IATA airport code for Tenerife South Airport, a major international gateway to Spain’s Canary Islands.
-
B.
Perforce
Perforce is a centralized version control system widely used in game development and large-scale software projects for its performance and robust asset management.
-
C.
TeamSystem
TeamSystem is an Italian software company specializing in business management and accounting solutions for small and medium-sized enterprises.
-
D.
TeamCity
TeamCity is a commercial continuous integration and build management server developed by JetBrains, used to automate building, testing, and deploying software projects.
-
E.
starteam
StarTeam is a software configuration management and version control system used for managing source code, change requests, and development assets in collaborative software projects.
- 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: TFS Triple: [Texas A&M Forest Service, abbreviation, TFS]
Generated description
TFS is the Texas A&M Forest Service, a state agency that manages and protects Texas’s forests and related natural resources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TFS Target entity description: TFS is the Texas A&M Forest Service, a state agency that manages and protects Texas’s forests and related natural resources.
-
A.
TFS
TFS is the IATA airport code for Tenerife South Airport, a major international gateway to Spain’s Canary Islands.
-
B.
Perforce
Perforce is a centralized version control system widely used in game development and large-scale software projects for its performance and robust asset management.
-
C.
TeamSystem
TeamSystem is an Italian software company specializing in business management and accounting solutions for small and medium-sized enterprises.
-
D.
TeamCity
TeamCity is a commercial continuous integration and build management server developed by JetBrains, used to automate building, testing, and deploying software projects.
-
E.
starteam
StarTeam is a software configuration management and version control system used for managing source code, change requests, and development assets in collaborative software projects.
- 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34fce710481909d90ed4a3d150fde |
completed | March 12, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b79fe8c08190b4a9e4812babc78e |
completed | March 14, 2026, 7:31 p.m. |
| NEDg | Description generation | batch_69b5b8f79a7081909a09e9a7e4241472 |
completed | March 14, 2026, 7:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5b967dabc8190913a37a866bb1c9d |
completed | March 14, 2026, 7:39 p.m. |
Created at: March 12, 2026, 11:07 p.m.