Triple
T96759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Chop Light |
E1948
|
entity |
| Predicate | towerShape |
P4141
|
FINISHED |
| Object | cylindrical 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: cylindrical tower | Statement: [East Chop Light, towerShape, cylindrical tower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: towerShape Context triple: [East Chop Light, towerShape, cylindrical tower]
-
A.
tallestBuildingIn
Indicates that one entity is the tallest building located within the area or region specified by the other entity.
-
B.
roofHeight
Indicates the vertical distance or elevation of a roof relative to a reference level or structure.
-
C.
building
Indicates that one entity constructs, assembles, or develops another entity, typically over a period of time.
-
D.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
E.
antennaSpireHeight
Indicates the vertical measurement of an object's antenna or spire from its base to its highest point.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a250cb400c8190b56343bbe19b48c7 |
completed | Feb. 28, 2026, 2:19 a.m. |
| PD | Predicate disambiguation | batch_69a24ebd19c48190bab291fea0ecc0c2 |
completed | Feb. 28, 2026, 2:11 a.m. |
| PDg | Predicate description generation | batch_69a250ca7eec8190b31f7e61f5e3ee1f |
completed | Feb. 28, 2026, 2:19 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.