Triple
T3004407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teylingen |
E81864
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | Warmond |
E318488
|
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: Warmond | Statement: [Teylingen, formedByMergerOf, Warmond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warmond Context triple: [Teylingen, formedByMergerOf, Warmond]
-
A.
Warmond
chosen
Warmond is a village in the Dutch province of South Holland, known for its historic estates and lakeside setting popular for water sports and recreation.
-
B.
Weldon
Weldon is the middle name of James Weldon Johnson, the influential African American writer, civil rights activist, and leader of the NAACP.
-
C.
Azalea City
Azalea City is a nickname for Mobile, Alabama, highlighting the city's abundance of blooming azalea flowers and its reputation for vibrant Southern gardens.
-
D.
Eastland
Eastland is a surname most notably associated with James Eastland, a long-serving and influential U.S. senator from Mississippi.
-
E.
Mebanesville
Mebanesville was the original name of the city now known as Mebane in North Carolina.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a149b248190ac4f11afc4871cc1 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1dea3a31481908db6871cf6c37781 |
completed | March 11, 2026, 9:29 p.m. |
Created at: March 8, 2026, 2:59 p.m.