Triple
T5776916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herwijnen |
E127465
|
entity |
| Predicate | mergedIntoMunicipality |
P77
|
FINISHED |
| Object |
Vuren
Vuren is a village and former municipality in the Dutch province of Gelderland, known for its location along the River Waal and its historic fortifications.
|
E542876
|
NE FINISHED |
How this triple was built (4 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: Vuren | Statement: [Herwijnen, mergedIntoMunicipality, Vuren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vuren Context triple: [Herwijnen, mergedIntoMunicipality, Vuren]
-
A.
Brennen
Brennen is a given name, typically used as a variant spelling of Brennan.
-
B.
Under Fire
Under Fire is a seminal World War I novel by Henri Barbusse that offers a stark, realistic portrayal of French soldiers’ experiences in the trenches.
-
C.
The Fire
The Fire is a Major League Soccer club based in Chicago, Illinois, known formally as Chicago Fire FC.
-
D.
The Burning
The Burning is a 1981 American slasher film, notable for its summer-camp setting and early special effects work by makeup artist Tom Savini.
-
E.
The Burning
The Burning was a Union scorched-earth campaign in the Shenandoah Valley during the American Civil War, aimed at destroying Confederate resources and crippling the region’s ability to support the Southern war effort.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vuren Triple: [Herwijnen, mergedIntoMunicipality, Vuren]
Generated description
Vuren is a village and former municipality in the Dutch province of Gelderland, known for its location along the River Waal and its historic fortifications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vuren Target entity description: Vuren is a village and former municipality in the Dutch province of Gelderland, known for its location along the River Waal and its historic fortifications.
-
A.
Brennen
Brennen is a given name, typically used as a variant spelling of Brennan.
-
B.
Under Fire
Under Fire is a seminal World War I novel by Henri Barbusse that offers a stark, realistic portrayal of French soldiers’ experiences in the trenches.
-
C.
The Fire
The Fire is a Major League Soccer club based in Chicago, Illinois, known formally as Chicago Fire FC.
-
D.
The Burning
The Burning is a 1981 American slasher film, notable for its summer-camp setting and early special effects work by makeup artist Tom Savini.
-
E.
The Burning
The Burning was a Union scorched-earth campaign in the Shenandoah Valley during the American Civil War, aimed at destroying Confederate resources and crippling the region’s ability to support the Southern war effort.
- F. None of above. chosen
Provenance (5 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029dfccdc8190bed937f493e42aed |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e6fd260819090d5e3c877c8bd31 |
completed | March 22, 2026, 11:42 p.m. |
| NEDg | Description generation | batch_69c08ba48a1c819090f276116a084a01 |
completed | March 23, 2026, 12:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c08c094bd08190bb3d849bf1a80ad0 |
completed | March 23, 2026, 12:40 a.m. |
Created at: March 22, 2026, 3:50 p.m.