Triple
T2337387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HH |
E44341
|
entity |
| Predicate | hasAbbreviationOrigin |
P8075
|
FINISHED |
| Object | derived from name Hamburg |
—
|
LITERAL 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: derived from name Hamburg | Statement: [HH, hasAbbreviationOrigin, derived from name Hamburg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAbbreviationOrigin Context triple: [HH, hasAbbreviationOrigin, derived from name Hamburg]
-
A.
hasAcronymOrigin
Indicates that an acronym is derived from or originates from a specific longer expression or name.
-
B.
hasNameAbbreviation
chosen
Indicates that an entity is associated with a shortened or abbreviated form of its full name.
-
C.
hasAbbreviationForRegion
Indicates that one entity is used as the standard abbreviated form of the name of a particular region.
-
D.
isCommonAbbreviation
Indicates that one term is a widely used shortened or abbreviated form of another term.
-
E.
notAbbreviationOf
Indicates that one term is explicitly asserted not to be an abbreviation or shortened form of another term.
- F. None of above.
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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6f75d888190a2e41edaa532e83f |
completed | March 7, 2026, 6:34 a.m. |
| PD | Predicate disambiguation | batch_69abc594087c819098100a10c5478a4b |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:51 p.m.