Triple
T593631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Historic Water Tower |
E17329
|
entity |
| Predicate | hasTowerType |
P7154
|
FINISHED |
| Object | standpipe tower |
—
|
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: standpipe tower | Statement: [Historic Water Tower, hasTowerType, standpipe tower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTowerType Context triple: [Historic Water Tower, hasTowerType, standpipe tower]
-
A.
hasTower
Indicates that one entity possesses, contains, or is characterized by the presence of a tower.
-
B.
hasBuildingHeightType
Indicates the classification or type used to characterize the height of a building in the relationship.
-
C.
towerType
chosen
Indicates the specific kind or classification of a tower that an entity is associated with or represents.
-
D.
hasHullType
Indicates that an entity possesses or is characterized by a specific type or form of hull.
-
E.
hasInfrastructureType
Indicates that an entity possesses or is associated with a specific category or type of infrastructure.
- F. None of above.
Provenance (3 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bd15c5881909b59ed4c88687e7b |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cd7d3c8190af008acf34a2293b |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.