Triple
T7503700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veghel |
E177331
|
entity |
| Predicate | hasIndustrialArea |
P40
|
FINISHED |
| Object |
De Amert
De Amert is an industrial area in Veghel, Netherlands, known for hosting a variety of manufacturing and logistics businesses.
|
E668324
|
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: De Amert | Statement: [Veghel, hasIndustrialArea, De Amert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Amert Context triple: [Veghel, hasIndustrialArea, De Amert]
-
A.
La Riposa
La Riposa is a mountain refuge and common base for hikers ascending Rocciamelone in the Italian Alps.
-
B.
Brazo de la Tristeza
Brazo de la Tristeza is a scenic, narrow western arm of Nahuel Huapi Lake in Argentine Patagonia, known for its deep waters, surrounding Andean forests, and views of nearby peaks.
-
C.
El Pecho
El Pecho is a prominent summit of the Iztaccíhuatl volcano in central Mexico, recognizable as part of the mountain’s distinctive “sleeping woman” profile.
-
D.
Eminado
Eminado is a popular Afrobeat song by Nigerian singer Tiwa Savage, known for its catchy melody and romantic lyrics.
-
E.
La Soif
La Soif is the debut novel of Algerian writer Assia Djebar, exploring themes of female identity, desire, and colonial society in mid-20th-century Algeria.
- 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: De Amert Triple: [Veghel, hasIndustrialArea, De Amert]
Generated description
De Amert is an industrial area in Veghel, Netherlands, known for hosting a variety of manufacturing and logistics businesses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: De Amert Target entity description: De Amert is an industrial area in Veghel, Netherlands, known for hosting a variety of manufacturing and logistics businesses.
-
A.
La Riposa
La Riposa is a mountain refuge and common base for hikers ascending Rocciamelone in the Italian Alps.
-
B.
Brazo de la Tristeza
Brazo de la Tristeza is a scenic, narrow western arm of Nahuel Huapi Lake in Argentine Patagonia, known for its deep waters, surrounding Andean forests, and views of nearby peaks.
-
C.
El Pecho
El Pecho is a prominent summit of the Iztaccíhuatl volcano in central Mexico, recognizable as part of the mountain’s distinctive “sleeping woman” profile.
-
D.
Eminado
Eminado is a popular Afrobeat song by Nigerian singer Tiwa Savage, known for its catchy melody and romantic lyrics.
-
E.
La Soif
La Soif is the debut novel of Algerian writer Assia Djebar, exploring themes of female identity, desire, and colonial society in mid-20th-century Algeria.
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5b32c708190bb3a92d0d949304a |
completed | March 27, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c9953e88190a1e0e899f2ddf822 |
completed | March 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69c83defe434819086bf6d63c8f2675e |
completed | March 28, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83e531ea881909b6186de9adbccc0 |
completed | March 28, 2026, 8:47 p.m. |
Created at: March 27, 2026, 3:44 p.m.