Triple
T20642957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deutsche Messe AG |
E507276
|
entity |
| Predicate | organizes |
P123
|
FINISHED |
| Object |
LIGNA
LIGNA is a leading international trade fair focused on the woodworking and wood processing industries, showcasing machinery, tools, and innovative technologies.
|
E1442112
|
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: LIGNA | Statement: [Deutsche Messe AG, organizes, LIGNA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LIGNA Context triple: [Deutsche Messe AG, organizes, LIGNA]
-
A.
Lignod
Lignod is a small alpine village in Italy’s Aosta Valley, known for its traditional stone-and-wood architecture and scenic mountain surroundings.
-
B.
Líšina
Líšina is a small village in the Plzeň Region of the Czech Republic, situated within the administrative area of the Plzeň-South District.
-
C.
Linge
Linge is a river in the Netherlands known for flowing through the Betuwe region and its picturesque orchards and villages.
-
D.
Oliena
Oliena is a historic town in central Sardinia, Italy, known for its traditional Barbagia culture, mountainous landscapes, and renowned Nepente di Oliena wine.
-
E.
Libná
Libná is a small settlement that forms part of the town of Teplice nad Metují in the Hradec Králové Region of the Czech Republic.
- 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: LIGNA Triple: [Deutsche Messe AG, organizes, LIGNA]
Generated description
LIGNA is a leading international trade fair focused on the woodworking and wood processing industries, showcasing machinery, tools, and innovative technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LIGNA Target entity description: LIGNA is a leading international trade fair focused on the woodworking and wood processing industries, showcasing machinery, tools, and innovative technologies.
-
A.
Lignod
Lignod is a small alpine village in Italy’s Aosta Valley, known for its traditional stone-and-wood architecture and scenic mountain surroundings.
-
B.
Líšina
Líšina is a small village in the Plzeň Region of the Czech Republic, situated within the administrative area of the Plzeň-South District.
-
C.
Linge
Linge is a river in the Netherlands known for flowing through the Betuwe region and its picturesque orchards and villages.
-
D.
Oliena
Oliena is a historic town in central Sardinia, Italy, known for its traditional Barbagia culture, mountainous landscapes, and renowned Nepente di Oliena wine.
-
E.
Libná
Libná is a small settlement that forms part of the town of Teplice nad Metují in the Hradec Králové Region of the Czech Republic.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1c51f48190abba54a5aace9fc8 |
completed | April 20, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08c58cb86c81909b48e3cb231de171 |
completed | May 16, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_6a08c61afe688190bb6f755386e3df18 |
completed | May 16, 2026, 7:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08c6d846608190a1412b521b487ae7 |
completed | May 16, 2026, 7:34 p.m. |
Created at: April 16, 2026, 11:43 a.m.