Triple
T3681293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Helena Airport |
E78116
|
entity |
| Predicate | distanceFromJamestown |
P50276
|
FINISHED |
| Object | about 14 km |
—
|
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 14 km | Statement: [Saint Helena Airport, distanceFromJamestown, about 14 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromJamestown Context triple: [Saint Helena Airport, distanceFromJamestown, about 14 km]
-
A.
distanceToPoughkeepsie
Indicates the spatial distance between a given entity and the location of Poughkeepsie.
-
B.
distanceFromCharlotteAmalie
Indicates the measured distance between a given location and Charlotte Amalie.
-
C.
distanceFromBoston
Indicates the spatial distance between a given entity’s location and the city of Boston.
-
D.
distanceFromFord’sTheatre
Indicates the spatial distance between an entity and Ford’s Theatre.
-
E.
distanceFromPennStation
Indicates the physical distance between a given location and Penn Station.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc492aed481909e8986378ad283fc |
completed | March 8, 2026, 6:48 p.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb97cdb788190a5ce96b21bd157ab |
completed | March 8, 2026, 6:01 p.m. |
Created at: March 8, 2026, 3:25 p.m.