Triple
T87751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bourne Bridge |
E1763
|
entity |
| Predicate | hasDeckType |
P4066
|
FINISHED |
| Object | road deck |
—
|
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: road deck | Statement: [Bourne Bridge, hasDeckType, road deck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDeckType Context triple: [Bourne Bridge, hasDeckType, road deck]
-
A.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
B.
hasTypeOfInsignia
Indicates that an entity bears or is associated with a specific kind or category of insignia.
-
C.
hasCollection
Indicates that an entity possesses, maintains, or is associated with a set or group of related items treated as a collection.
-
D.
hasCollectionType
Indicates that an entity is associated with or organized under a specific type or category of collection.
-
E.
hasDevelopmentType
Indicates the type or category of development associated with an entity, such as the nature, form, or stage of its development.
- 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a2503d304c8190a0034ffa4a38a501 |
completed | Feb. 28, 2026, 2:17 a.m. |
| PD | Predicate disambiguation | batch_69a24eb6da2c8190a33d144d219f7abe |
completed | Feb. 28, 2026, 2:11 a.m. |
| PDg | Predicate description generation | batch_69a2503c12808190a3cbb7b171f466f0 |
completed | Feb. 28, 2026, 2:17 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.