Triple
T11170885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eggersriet |
E264269
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Grub SG |
E264270
|
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: Grub SG | Statement: [Eggersriet, hasSettlement, Grub SG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grub SG Context triple: [Eggersriet, hasSettlement, Grub SG]
-
A.
Grub (AR)
chosen
Grub (AR) is a municipality in the canton of Appenzell Ausserrhoden in northeastern Switzerland, known for its rural setting and proximity to the city of St. Gallen.
-
B.
GR-64
GR-64 is the ISO 3166-2 regional code assigned to the Chalkidiki regional unit in Greece.
-
C.
G-blokka
G-blokka is a central Norwegian government office building in Oslo’s Government Quarter, historically housing key ministries and administrative functions.
-
D.
The Grinder
The Grinder is an American television sitcom that satirizes legal dramas, starring Rob Lowe and Fred Savage as brothers whose lives are upended when a TV lawyer returns home believing he can practice real law.
-
E.
Gobo
Gobo is a coastal city in Japan known for its fishing industry and location in Wakayama Prefecture on the Kii Peninsula.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e89660208190b1d9e91529f5d246 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463b155a08190b361b38a39d25b1f |
completed | April 19, 2026, 5:10 a.m. |
Created at: April 8, 2026, 9:29 p.m.