Triple
T13676868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PX |
E327900
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Post Exchange |
E64799
|
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: Post Exchange | Statement: [PX, alsoKnownAs, Post Exchange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Post Exchange Context triple: [PX, alsoKnownAs, Post Exchange]
-
A.
post exchange
chosen
A post exchange is a retail store on a U.S. Army installation that provides tax-free goods and services to military personnel, their families, and authorized civilians.
-
B.
Posta
Posta is a popular Turkish daily newspaper known for its mass-market appeal and wide circulation.
-
C.
Exchange
"Exchange" is a popular R&B song by American singer Bryson Tiller, known for its smooth production, emotional lyrics, and significant role in boosting his mainstream success.
-
D.
Postau
Postau is a small municipality in Lower Bavaria, Germany, situated in the rural district of Landshut.
-
E.
EPost
EPost is an NCBI E-utilities service that allows users to upload and store lists of database identifiers on the NCBI server for use in subsequent API queries.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65d8dc081909664e69bb38610ba |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794405a38819085f38170c56564f2 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.