Triple
T6620425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Monica Airport |
E149658
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Clover Field
Clover Field was the original name of the historic airfield in Santa Monica, California that later became Santa Monica Airport.
|
E601159
|
NE FINISHED |
How this triple was built (4 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: Clover Field | Statement: [Santa Monica Airport, formerName, Clover Field]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clover Field Context triple: [Santa Monica Airport, formerName, Clover Field]
-
A.
Valleyview
Valleyview is a residential neighbourhood in the city of Kamloops, British Columbia, known for its suburban character and proximity to local amenities.
-
B.
Meadowland
Meadowland is a 2015 independent drama film starring Olivia Wilde as a grieving mother coping with the mysterious disappearance of her young son.
-
C.
Long Meadow
Long Meadow is a vast, uninterrupted stretch of open lawn in Brooklyn’s Prospect Park, known as one of the longest continuous meadows in any U.S. urban park.
-
D.
Brown Field
Brown Field is a military training area associated with the United States Marine Corps Officer Candidates School.
-
E.
Ninesprings
Ninesprings is a popular country park and nature reserve on the outskirts of Yeovil, known for its woodland walks, lakes, and wildlife.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Clover Field Triple: [Santa Monica Airport, formerName, Clover Field]
Generated description
Clover Field was the original name of the historic airfield in Santa Monica, California that later became Santa Monica Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clover Field Target entity description: Clover Field was the original name of the historic airfield in Santa Monica, California that later became Santa Monica Airport.
-
A.
Valleyview
Valleyview is a residential neighbourhood in the city of Kamloops, British Columbia, known for its suburban character and proximity to local amenities.
-
B.
Meadowland
Meadowland is a 2015 independent drama film starring Olivia Wilde as a grieving mother coping with the mysterious disappearance of her young son.
-
C.
Long Meadow
Long Meadow is a vast, uninterrupted stretch of open lawn in Brooklyn’s Prospect Park, known as one of the longest continuous meadows in any U.S. urban park.
-
D.
Brown Field
Brown Field is a military training area associated with the United States Marine Corps Officer Candidates School.
-
E.
Ninesprings
Ninesprings is a popular country park and nature reserve on the outskirts of Yeovil, known for its woodland walks, lakes, and wildlife.
- F. None of above. chosen
Provenance (5 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af7aff44819089da6145e1ef5f76 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbe2bcfc8190a3224c688443edc9 |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd89b51c81909ea17d391732630e |
completed | March 27, 2026, 6:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce70442c8190a12a6c6eb76c5269 |
completed | March 27, 2026, 6:37 p.m. |
Created at: March 27, 2026, 1:58 p.m.