Triple
T1270950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maeslantkering |
E15706
|
entity |
| Predicate | gateWeight |
P28061
|
FINISHED |
| Object | 6800 tonnes per gate |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 6800 tonnes per gate | Statement: [Maeslantkering, gateWeight, 6800 tonnes per gate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gateWeight Context triple: [Maeslantkering, gateWeight, 6800 tonnes per gate]
-
A.
hasGate
Indicates that one entity possesses, includes, or is equipped with a gate as part of its structure or configuration.
-
B.
doorType
Indicates the specific kind or category of door associated with an entity.
-
C.
doorConfiguration
Indicates how a door is arranged or set up in relation to its frame, opening direction, and operational characteristics.
-
D.
numberOfGates
Indicates the quantity of gates associated with or belonging to an entity.
-
E.
keySector
Indicates that an entity operates in, belongs to, or is primarily associated with a particularly important or strategic sector within a broader domain or economy.
- F. None of above. chosen
Provenance (4 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06ae7b88190a1e0b5232d84a7b1 |
completed | March 1, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69a4bede52a081909665d60acbe41d31 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bfa205ec81909d8170b398345615 |
completed | March 1, 2026, 10:37 p.m. |
Created at: March 1, 2026, 7:50 p.m.