Triple
T257322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marine Corps War Memorial |
E5463
|
entity |
| Predicate | flagpoleHeight |
P8985
|
FINISHED |
| Object | approximately 18 meters |
—
|
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: approximately 18 meters | Statement: [Marine Corps War Memorial, flagpoleHeight, approximately 18 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagpoleHeight Context triple: [Marine Corps War Memorial, flagpoleHeight, approximately 18 meters]
-
A.
antennaSpireHeight
Indicates the vertical measurement of an object's antenna or spire from its base to its highest point.
-
B.
statueHeight
Indicates the height measurement of a statue in some specified unit.
-
C.
roofHeight
Indicates the vertical distance or elevation of a roof relative to a reference level or structure.
-
D.
testTowerHeight
Indicates that an entity measures or evaluates the height of a tower.
-
E.
flagFlown
Indicates that a particular flag is being displayed or flown at a specific location or by a specific entity.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d703e688190bb86c69527e306f5 |
completed | Feb. 28, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69a25b694c08819085bb4b256fa7736f |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c4b773c81908f1017f40b0bfd07 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.