Triple
T13764199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Habersham County |
E330693
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Tallulah Falls |
E566863
|
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: Tallulah Falls | Statement: [Habersham County, containsSettlement, Tallulah Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tallulah Falls Context triple: [Habersham County, containsSettlement, Tallulah Falls]
-
A.
Tallulah Falls
chosen
Tallulah Falls is a small town in northeastern Georgia known for its scenic gorge, waterfalls, and outdoor recreation opportunities.
-
B.
Noccalula Falls
Noccalula Falls is a prominent 90-foot waterfall and public park attraction located near Gadsden in northeastern Alabama.
-
C.
DeSoto Falls
DeSoto Falls is a scenic, high waterfall in northeastern Alabama known for its dramatic drop, surrounding cliffs, and popular hiking and viewing areas.
-
D.
Virginia Falls
Virginia Falls is a spectacular and powerful waterfall on the South Nahanni River in Canada’s Northwest Territories, renowned for its dramatic drop and remote wilderness setting.
-
E.
Nachi Falls
Nachi Falls is one of Japan’s tallest and most famous waterfalls, revered as a sacred site and scenic highlight near the Kumano Nachi Taisha shrine in Wakayama Prefecture.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de022690ac8190bd5410ecc659a2a7 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea59d27bc81908ace0b7db9f57215 |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 9, 2026, 10:10 p.m.