Triple
T34133056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lixhe |
E875480
|
entity |
| Predicate | hasHydraulicStructureNearby |
P127358
|
FINISHED |
| Object |
Lixhe lock
Lixhe lock is a navigation lock on the Meuse River in Belgium that facilitates river traffic by managing water levels near the village of Lixhe.
|
E2082814
|
NE FINISHED |
How this triple was built (3 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: Lixhe lock | Statement: [Lixhe, hasHydraulicStructureNearby, Lixhe lock]
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: Lixhe lock Triple: [Lixhe, hasHydraulicStructureNearby, Lixhe lock]
Generated description
Lixhe lock is a navigation lock on the Meuse River in Belgium that facilitates river traffic by managing water levels near the village of Lixhe.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHydraulicStructureNearby Context triple: [Lixhe, hasHydraulicStructureNearby, Lixhe lock]
-
A.
hasNearbyWaterInfrastructure
Indicates that a location or entity is situated close to water-related infrastructure such as pipes, treatment facilities, or distribution systems.
-
B.
hasHydroelectricInfrastructureNearby
Indicates that there is hydroelectric infrastructure located in close proximity to the referenced entity.
-
C.
hasNearbyRiverStructure
chosen
Indicates that a river-related structure (such as a dam, bridge, or levee) is located close to the referenced entity.
-
D.
hasNearbyWaterBoard
Indicates that an entity is located close to, or within the jurisdictional area of, a water management or water regulatory board.
-
E.
hasNearbyWater
Indicates that one entity is located close to a body of water associated with or relevant to another entity.
- F. None of above.
Provenance (6 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_69f349aa33848190a2e6c5e4533c8444 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36b77afa588190b7b4b6b7a7c5a840 |
completed | June 20, 2026, 3:53 p.m. |
| NEDg | Description generation | batch_6a36b87f1f708190b614fff40848f7df |
completed | June 20, 2026, 3:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36ba04a9dc8190ad40707e53ace732 |
completed | June 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:53 a.m.