Triple
T12577136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burnet County |
E300237
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Marble Falls |
E208494
|
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: Marble Falls | Statement: [Burnet County, largestCity, Marble Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marble Falls Context triple: [Burnet County, largestCity, Marble Falls]
-
A.
Marble Falls
chosen
Marble Falls is a small Central Texas city known for its scenic location on the Colorado River, proximity to Highland Lakes, and role as a gateway to the Texas Hill Country.
-
B.
Lake Marble Falls
Lake Marble Falls is a man-made reservoir in the Texas Hill Country, known for recreation and hydroelectric power generation as part of the Highland Lakes chain.
-
C.
Diamond Falls
Diamond Falls is a picturesque waterfall and mineral-rich hot spring located within the Diamond Botanical Gardens near Soufrière in Saint Lucia.
-
D.
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.
-
E.
Rancheria Falls
Rancheria Falls is a scenic multi-tiered waterfall located in the Hetch Hetchy area of Yosemite National Park in California.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954a73c148190bba8f16b1232fd46 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65599a9c0819086233fb2c622d243 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 9, 2026, 4:53 p.m.