Triple
T6309584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Travis Air Force Base |
E141465
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object | SUU |
E584353
|
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: SUU | Statement: [Travis Air Force Base, FAAcode, SUU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SUU Context triple: [Travis Air Force Base, FAAcode, SUU]
-
A.
SUU
chosen
SUU is the IATA airport code for Travis Air Force Base, a major United States Air Force installation in California.
-
B.
SU
SU is the station code used to identify Summerhill railway station.
-
C.
SU
SU is the commonly used abbreviation for Stockholm University, a major public research university in Stockholm, Sweden.
-
D.
SU
SU is the commonly used abbreviation for Saurashtra University, a public higher education institution located in Gujarat, India.
-
E.
SU
SU is the stock ticker symbol under which Schneider Electric, a global leader in energy management and automation, is traded.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0647f13a4819095c4ce8c42c5d1fb |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6040337908190a10f7cd9c1264267 |
completed | March 27, 2026, 4:13 a.m. |
Created at: March 22, 2026, 4:28 p.m.