Triple
T3108317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William V, Prince of Orange |
E64888
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Braunfels |
E239890
|
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: Braunfels | Statement: [William V, Prince of Orange, deathPlace, Braunfels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Braunfels Context triple: [William V, Prince of Orange, deathPlace, Braunfels]
-
A.
Braunfels
chosen
Braunfels is a historic spa and castle town in the German state of Hesse, known for its well-preserved medieval old town and hilltop Braunfels Castle.
-
B.
New Braunfels
New Braunfels is a historic central Texas city known for its German heritage, river recreation on the Comal and Guadalupe, and location between Austin and San Antonio.
-
C.
Corsicana
Corsicana is a small city in north-central Texas known for its oil boom history and as a regional commercial and transportation hub between Dallas and Houston.
-
D.
Balch Springs
Balch Springs is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
-
E.
Wimberley
Wimberley is a small, scenic town in central Texas known for its picturesque Hill Country landscapes, swimming holes, and artsy, tourist-friendly downtown.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada29eacc88190a19c5ca8e53e3dca |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b324e2f1448190be5b744abdeed314 |
completed | March 12, 2026, 8:41 p.m. |
Created at: March 8, 2026, 3:04 p.m.