Triple
T112562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chain Home |
E2278
|
entity |
| Predicate | towerType |
P7154
|
FINISHED |
| Object | steel transmitter towers |
—
|
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: steel transmitter towers | Statement: [Chain Home, towerType, steel transmitter towers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: towerType Context triple: [Chain Home, towerType, steel transmitter towers]
-
A.
towerShape
Indicates that one entity has the physical form or outline of a tower in relation to another entity.
-
B.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
C.
tallestBuildingIn
Indicates that one entity is the tallest building located within the area or region specified by the other entity.
-
D.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
E.
hasBuildingHeightType
Indicates the classification or type used to characterize the height of a building in the relationship.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a258808ff08190a06b6206f635612b |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a256425a488190959d71e39e699d90 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2587e598c81909e1082b813971f48 |
completed | Feb. 28, 2026, 2:52 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.