Triple
T4002237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zentraler Sanitätsdienst |
E89439
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | ZSanDstBw |
E407243
|
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: ZSanDstBw | Statement: [Zentraler Sanitätsdienst, hasAbbreviation, ZSanDstBw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZSanDstBw Context triple: [Zentraler Sanitätsdienst, hasAbbreviation, ZSanDstBw]
-
A.
ZSanDstBw
chosen
ZSanDstBw is the official abbreviation for Germany’s Joint Medical Service, the unified medical branch of the Bundeswehr responsible for healthcare and medical support to the armed forces.
-
B.
KSAN
KSAN is the ICAO airport code for San Diego International Airport, a major commercial airport serving the San Diego, California area.
-
C.
DAS
DAS is the acronym for the Defense Attache Service, the U.S. military organization that manages defense attachés and military diplomatic representation at American embassies worldwide.
-
D.
BANZSL
BANZSL is the family of closely related sign languages used in Britain, Australia, and New Zealand, sharing a common historical origin and many linguistic features.
-
E.
SAN
SAN is the acronym for the Schuylkill Action Network, a collaborative partnership focused on protecting and restoring the Schuylkill River watershed.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa44125881909f45ecd0a986c581 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5562455a0819097fb6a566f2d387a |
completed | March 14, 2026, 12:35 p.m. |
Created at: March 9, 2026, 3:34 p.m.