Triple
T20725004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marche-en-Famenne |
E509410
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Waha
Waha is a small village in the Walloon region of Belgium, known for its historic Romanesque church and its location within the municipality of Marche-en-Famenne.
|
E1446961
|
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: Waha | Statement: [Marche-en-Famenne, contains, Waha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waha Context triple: [Marche-en-Famenne, contains, Waha]
-
A.
Waha
Waha is a small unincorporated rural community located in Nez Perce County in north-central Idaho.
-
B.
Naab
The Naab is a river in Bavaria, Germany, that flows through the Upper Palatinate region before joining the Danube.
-
C.
Wasilla
Wasilla is a small city in south-central Alaska known as part of the Anchorage metropolitan area and for being the hometown of former governor Sarah Palin.
-
D.
Maysan
Maysan is a governorate in southeastern Iraq known for its marshlands, oil fields, and capital city Amarah.
-
E.
سيبويه
سيبويه هو نحوي ولغوي بصري من القرن الثاني الهجري يُعد من أبرز أئمة النحو العربي ومؤلف كتاب "الكتاب" الذي يُعد من أهم المراجع في النحو واللغة.
- 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: Waha Triple: [Marche-en-Famenne, contains, Waha]
Generated description
Waha is a small village in the Walloon region of Belgium, known for its historic Romanesque church and its location within the municipality of Marche-en-Famenne.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waha Target entity description: Waha is a small village in the Walloon region of Belgium, known for its historic Romanesque church and its location within the municipality of Marche-en-Famenne.
-
A.
Waha
Waha is a small unincorporated rural community located in Nez Perce County in north-central Idaho.
-
B.
Naab
The Naab is a river in Bavaria, Germany, that flows through the Upper Palatinate region before joining the Danube.
-
C.
Wasilla
Wasilla is a small city in south-central Alaska known as part of the Anchorage metropolitan area and for being the hometown of former governor Sarah Palin.
-
D.
Maysan
Maysan is a governorate in southeastern Iraq known for its marshlands, oil fields, and capital city Amarah.
-
E.
سيبويه
سيبويه هو نحوي ولغوي بصري من القرن الثاني الهجري يُعد من أبرز أئمة النحو العربي ومؤلف كتاب "الكتاب" الذي يُعد من أهم المراجع في النحو واللغة.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1e662f08190917ee043612d413e |
completed | April 21, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e05b8d6081908bc76627caf05188 |
completed | May 16, 2026, 9:23 p.m. |
| NEDg | Description generation | batch_6a08e13ca768819084c58419e058b111 |
completed | May 16, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e1e759ec8190a305662f220a1826 |
completed | May 16, 2026, 9:30 p.m. |
Created at: April 16, 2026, 12:29 p.m.