Triple
T8406079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Cod Light |
E198502
|
entity |
| Predicate | distanceMoved |
P7750
|
FINISHED |
| Object | about 450 feet west |
—
|
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: about 450 feet west | Statement: [Cape Cod Light, distanceMoved, about 450 feet west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceMoved Context triple: [Cape Cod Light, distanceMoved, about 450 feet west]
-
A.
distanceChange
Indicates a change in the spatial distance between two entities over time.
-
B.
distanceTraveled
Indicates the total length of the path an entity has moved over a period of time or between two points.
-
C.
distance
chosen
Indicates the spatial separation or length between two points, objects, or locations.
-
D.
movementComponentsCovered
Indicates that the movement or motion of an entity is fully accounted for or represented by a specified set of component movements.
-
E.
distanceFallen
Indicates the amount of vertical distance an object has moved downward from its starting point due to falling.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb8312941c8190af0b2def0a4e02be |
completed | March 31, 2026, 8:17 a.m. |
| PD | Predicate disambiguation | batch_69cb70d473dc8190af8ea81ee5aa970d |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:05 p.m.