Triple
T9349370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hofheim am Taunus |
E224974
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Wallau
Wallau is a district of the German town Hofheim am Taunus in the state of Hesse.
|
E796822
|
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: Wallau | Statement: [Hofheim am Taunus, hasSubdivision, Wallau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wallau Context triple: [Hofheim am Taunus, hasSubdivision, Wallau]
-
A.
Lawai
Lawai is a small unincorporated community on the island of Kauai in Hawaii, known for its rural residential character and proximity to the island’s south shore attractions.
-
B.
Tayauh
Tayauh was a participant in the Tepanec War, a conflict among pre-Columbian Nahua city-states in central Mexico.
-
C.
Tahuata
Tahuata is a small, rugged island in the southern Marquesas archipelago of French Polynesia, known for its traditional Polynesian culture and remote, scenic landscapes.
-
D.
Pa'a
Pa'a is a Chadic language spoken in northern Nigeria, closely related to and geographically near the Warji language.
-
E.
Talokan
Talokan is a fictional underwater Mesoamerican-inspired kingdom ruled by Namor in the Marvel Cinematic Universe film "Black Panther: Wakanda Forever."
- 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: Wallau Triple: [Hofheim am Taunus, hasSubdivision, Wallau]
Generated description
Wallau is a district of the German town Hofheim am Taunus in the state of Hesse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wallau Target entity description: Wallau is a district of the German town Hofheim am Taunus in the state of Hesse.
-
A.
Lawai
Lawai is a small unincorporated community on the island of Kauai in Hawaii, known for its rural residential character and proximity to the island’s south shore attractions.
-
B.
Tayauh
Tayauh was a participant in the Tepanec War, a conflict among pre-Columbian Nahua city-states in central Mexico.
-
C.
Tahuata
Tahuata is a small, rugged island in the southern Marquesas archipelago of French Polynesia, known for its traditional Polynesian culture and remote, scenic landscapes.
-
D.
Pa'a
Pa'a is a Chadic language spoken in northern Nigeria, closely related to and geographically near the Warji language.
-
E.
Talokan
Talokan is a fictional underwater Mesoamerican-inspired kingdom ruled by Namor in the Marvel Cinematic Universe film "Black Panther: Wakanda Forever."
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f1198b88190adc0b01f7c1be36e |
completed | April 1, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100cc26248190baf12eb7f8aca74a |
completed | April 4, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_69d1045852e88190a9f8937f12ffebc1 |
completed | April 4, 2026, 12:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d104b66358819087a157d61216b593 |
completed | April 4, 2026, 12:31 p.m. |
Created at: March 30, 2026, 7:41 p.m.