Triple
T13227554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladenburg |
E314920
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object |
Lopodunum
Lopodunum is the ancient Roman name for the town now known as Ladenburg in southwestern Germany, which was an important settlement along the Rhine frontier.
|
E1028035
|
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: Lopodunum | Statement: [Ladenburg, historicalName, Lopodunum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lopodunum Context triple: [Ladenburg, historicalName, Lopodunum]
-
A.
Horezu
Horezu is a small Romanian town renowned for its traditional pottery and UNESCO-recognized ceramic craftsmanship.
-
B.
Neviodunum
Neviodunum was an important Roman-era urban center and military settlement located in the province of Pannonia Savia, in the region of present-day Slovenia or Croatia.
-
C.
Oporoma
Oporoma is a town in Bayelsa State, Nigeria, serving as an administrative and political center for the surrounding Southern Ijaw area.
-
D.
Longiano
Longiano is a historic hilltop town in Italy’s Emilia-Romagna region, known for its medieval castle, scenic views, and well-preserved old center.
-
E.
Lugnut
Lugnut is the costumed mascot character for the Lansing Lugnuts minor league baseball team, entertaining fans at games and team events.
- 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: Lopodunum Triple: [Ladenburg, historicalName, Lopodunum]
Generated description
Lopodunum is the ancient Roman name for the town now known as Ladenburg in southwestern Germany, which was an important settlement along the Rhine frontier.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lopodunum Target entity description: Lopodunum is the ancient Roman name for the town now known as Ladenburg in southwestern Germany, which was an important settlement along the Rhine frontier.
-
A.
Horezu
Horezu is a small Romanian town renowned for its traditional pottery and UNESCO-recognized ceramic craftsmanship.
-
B.
Neviodunum
Neviodunum was an important Roman-era urban center and military settlement located in the province of Pannonia Savia, in the region of present-day Slovenia or Croatia.
-
C.
Oporoma
Oporoma is a town in Bayelsa State, Nigeria, serving as an administrative and political center for the surrounding Southern Ijaw area.
-
D.
Longiano
Longiano is a historic hilltop town in Italy’s Emilia-Romagna region, known for its medieval castle, scenic views, and well-preserved old center.
-
E.
Lugnut
Lugnut is the costumed mascot character for the Lansing Lugnuts minor league baseball team, entertaining fans at games and team events.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d3232d48190a3c792b025c596a6 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2a4b0c8190a853a1f6f4d1cbaf |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f70099f98081909877392c9ec49766 |
completed | May 3, 2026, 8 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f702620bc881909d4348fd2c709232 |
completed | May 3, 2026, 8:08 a.m. |
Created at: April 9, 2026, 9:21 p.m.