Triple
T2909595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skylon Tower |
E63648
|
entity |
| Predicate | distanceFromFalls |
P42849
|
FINISHED |
| Object | approximately 236 m above the gorge |
—
|
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 236 m above the gorge | Statement: [Skylon Tower, distanceFromFalls, approximately 236 m above the gorge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromFalls Context triple: [Skylon Tower, distanceFromFalls, approximately 236 m above the gorge]
-
A.
distanceFallen
Indicates the amount of vertical distance an object has moved downward from its starting point due to falling.
-
B.
flightDistance
Indicates the measured distance covered by a flight between its origin and destination.
-
C.
distanceFromReading
Indicates the measured spatial distance between a specified entity and the location of Reading.
-
D.
distanceFromHypocenter
Indicates the measured distance between a specified location and the hypocenter (origin point) of an event such as an earthquake.
-
E.
distanceFromMina
Indicates the spatial distance measured between Mina and another specified entity or location.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0d329c88190b6fcaef0be1799eb |
completed | March 7, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69abdd1b77608190b20fc078fdb85e64 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddedd72c819094a9c4161af07780 |
completed | March 7, 2026, 8:12 a.m. |
Created at: March 6, 2026, 10:11 p.m.