Triple
T4274059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Zug |
E97004
|
entity |
| Predicate | hasShorelineTown |
P33430
|
FINISHED |
| Object | Cham |
E229076
|
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: Cham | Statement: [Lake Zug, hasShorelineTown, Cham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cham Context triple: [Lake Zug, hasShorelineTown, Cham]
-
A.
Cham
chosen
Cham is a town in the Upper Palatinate region of Bavaria, Germany, known for its location along the Regen River and its historical role as a regional center.
-
B.
Cham
The Cham are an Austronesian ethnic group of Southeast Asia, historically associated with the ancient kingdom of Champa and now living mainly in Vietnam and Cambodia, with distinct Islamic traditions and cultural practices.
-
C.
Cholon
Cholon was historically Saigon’s bustling Chinese-influenced district and commercial hub, known for its dense markets, temples, and vibrant trading community.
-
D.
Kamorta
Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
-
E.
Adjame
Adjame is a bustling commercial and residential district of Abidjan in Côte d'Ivoire, known for its major markets and transport hubs.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3501abb74819086b2f04ac7a5c114 |
completed | March 12, 2026, 11:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7ace6c881908e1fbde95a2a3c04 |
completed | March 14, 2026, 7:31 p.m. |
Created at: March 12, 2026, 11:07 p.m.