Triple
T1601811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TIOH |
E34409
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | TIOH |
E34409
|
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: TIOH | Statement: [TIOH, abbreviation, TIOH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TIOH Context triple: [TIOH, abbreviation, TIOH]
-
A.
TIOH
chosen
TIOH is the commonly used acronym for the United States Army Institute of Heraldry, the organization responsible for designing and overseeing official military symbols, insignia, and heraldic items for the U.S. Army and other federal agencies.
-
B.
TIJ
TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
-
C.
TAI
TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
-
D.
I2O
I2O is the acronym for DARPA’s Information Innovation Office, which focuses on advancing cutting-edge information science and technology for national security.
-
E.
TTO
TTO is a DARPA office focused on developing and demonstrating high-risk, high-payoff advanced military technologies and systems.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9094b7b3c8190a5b08699e07a770f |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46ad15b081908b59df18224c7a8f |
completed | March 8, 2026, 9:51 a.m. |
Created at: March 4, 2026, 7:28 p.m.