Triple
T1504252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Nijmegen |
E33862
|
entity |
| Predicate | restoredTerritory |
P13943
|
FINISHED |
| Object |
Ath
Ath is a historic fortified town in the Wallonia region of Belgium, known for its medieval architecture and traditional annual festivals.
|
E172051
|
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: Ath | Statement: [Treaty of Nijmegen, restoredTerritory, Ath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ath Context triple: [Treaty of Nijmegen, restoredTerritory, Ath]
-
A.
Ant
Ant is a Java-based build automation tool commonly used to compile, package, and deploy Java applications using XML configuration files.
-
B.
Ap
Ap is the commonly used abbreviation for the Norwegian Labour Party, a major social-democratic political party in Norway.
-
C.
ASH
ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
-
D.
Andy
Andy is the central character in the 1991 Australian psychological drama film "Proof," around whom the story’s exploration of trust, perception, and relationships revolves.
-
E.
Tyler
Tyler is the officer in a Masonic lodge responsible for guarding the entrance and ensuring only qualified individuals are admitted to meetings.
- 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: Ath Triple: [Treaty of Nijmegen, restoredTerritory, Ath]
Generated description
Ath is a historic fortified town in the Wallonia region of Belgium, known for its medieval architecture and traditional annual festivals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ath Target entity description: Ath is a historic fortified town in the Wallonia region of Belgium, known for its medieval architecture and traditional annual festivals.
-
A.
Ant
Ant is a Java-based build automation tool commonly used to compile, package, and deploy Java applications using XML configuration files.
-
B.
Ap
Ap is the commonly used abbreviation for the Norwegian Labour Party, a major social-democratic political party in Norway.
-
C.
ASH
ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
-
D.
Andy
Andy is the central character in the 1991 Australian psychological drama film "Proof," around whom the story’s exploration of trust, perception, and relationships revolves.
-
E.
Tyler
Tyler is the officer in a Masonic lodge responsible for guarding the entrance and ensuring only qualified individuals are admitted to meetings.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907d4edd48190a03c85e1a0cc02b1 |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad233464b08190927694a8f236227b |
completed | March 8, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69ad2399f8408190872be9c2f04644ca |
completed | March 8, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad247476d08190827501ff5b380646 |
completed | March 8, 2026, 7:25 a.m. |
Created at: March 4, 2026, 7:24 p.m.