Triple
T1080134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Instruments |
E23925
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | TI |
E23925
|
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: TI | Statement: [Texas Instruments, hasBrand, TI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TI Context triple: [Texas Instruments, hasBrand, TI]
-
A.
TI
chosen
TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
-
B.
TIJ
TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
-
C.
TD
TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
-
D.
TU
TU is the international vehicle registration code assigned to Tunisia.
-
E.
TS
TS is the Technical Secretariat of the Organisation for the Prohibition of Chemical Weapons, the body responsible for implementing and verifying compliance with the Chemical Weapons Convention.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b94509d08190964509ea4a2d7912 |
completed | March 1, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c2247888190a7ab75b447b4773f |
completed | March 7, 2026, 4:02 p.m. |
Created at: March 1, 2026, 7:42 p.m.