Triple
T14629362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Immaculate Reception |
E343437
|
entity |
| Predicate | distanceOfTouchdown |
P115116
|
FINISHED |
| Object | approximately 60–65 yards |
—
|
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 60–65 yards | Statement: [Immaculate Reception, distanceOfTouchdown, approximately 60–65 yards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceOfTouchdown Context triple: [Immaculate Reception, distanceOfTouchdown, approximately 60–65 yards]
-
A.
landingDistance
Indicates the required or actual distance needed for an aircraft or object to complete a landing from approach to full stop.
-
B.
distanceFallen
Indicates the amount of vertical distance an object has moved downward from its starting point due to falling.
-
C.
typeOfLanding
Indicates the specific kind or category of landing that occurs in a given event or situation.
-
D.
takeoffDistanceM
Indicates the distance, measured in meters, required for an aircraft (or similar vehicle) to accelerate and lift off from the ground.
-
E.
takeoffDistanceCharacteristic
Indicates the relationship between an aircraft (or flight operation) and a characteristic describing the distance required or used for takeoff.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a7c8fc81909d10c1f563d7d1e7 |
completed | April 14, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69de657359c88190b082e3e9f86fc1d7 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:26 a.m.