Triple
T14266166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U9 |
E353649
|
entity |
| Predicate | servesDistrict |
P82
|
FINISHED |
| Object | Moabit |
E151700
|
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: Moabit | Statement: [U9, servesDistrict, Moabit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moabit Context triple: [U9, servesDistrict, Moabit]
-
A.
Moabit locality
chosen
Moabit is a central Berlin neighborhood known for its diverse population, historic prison site, and location on an island formed by the River Spree and Berlin-Spandau Ship Canal.
-
B.
Alt-Moabit
Alt-Moabit is a street and neighborhood in Berlin’s Moabit district, known for its central location along the Spree River and proximity to major government and cultural institutions.
-
C.
Fort Douglas
Fort Douglas is a historic U.S. Army military post in Salt Lake City, Utah, established in the 19th century and now partly preserved as a museum and university campus area.
-
D.
Eagle Rock
Eagle Rock is a prominent sandstone outcrop and popular hiking destination within the Santa Monica Mountains of Southern California.
-
E.
San Gabriel Square
San Gabriel Square is a prominent Chinese-themed shopping center in the San Gabriel Valley, known for its Asian supermarkets, restaurants, and specialty shops.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6358c2288190ac1fd26e688a605d |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d16bae881909b38ccf04f1cf823 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:09 a.m.