Triple
T322415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TMS |
E6441
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object | TDI |
E6442
|
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: TDI | Statement: [TMS, worksWith, TDI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TDI Context triple: [TMS, worksWith, TDI]
-
A.
TDI
chosen
TDI (Test Data In) is the serial input pin used in JTAG boundary-scan to feed test instructions and data into a device’s test access port.
-
B.
TI
TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
-
C.
TRI
TRI is the Toxics Release Inventory, a U.S. EPA-managed public database that tracks the management and release of certain toxic chemicals by industrial and federal facilities.
-
D.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
-
E.
TCA
TCA is the commonly used abbreviation for the Technical Cooperation Administration, a former U.S. government agency responsible for administering foreign aid and technical assistance programs.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea81a1e88190b3496070eb3d85f5 |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cb0203c081909fadc99c2172c87a |
completed | March 1, 2026, 5:13 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.