Triple
T4225409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nightingale Island |
E94444
|
entity |
| Predicate | hasLandingConditions |
P55418
|
FINISHED |
| Object | difficult |
—
|
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: difficult | Statement: [Nightingale Island, hasLandingConditions, difficult]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLandingConditions Context triple: [Nightingale Island, hasLandingConditions, difficult]
-
A.
landingCapability
Indicates the ability or suitability of an entity (e.g., a vehicle or system) to perform a landing under specified conditions.
-
B.
hasLandings
Indicates that an entity has one or more associated landing events or landing locations.
-
C.
plannedLandingMethod
Indicates that an entity has designated a specific method or procedure to be used for its landing.
-
D.
landingDistance
Indicates the required or actual distance needed for an aircraft or object to complete a landing from approach to full stop.
-
E.
landingMethod
Indicates the manner or technique by which something or someone arrives and comes to rest at a destination, typically from the air or space.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e4d32d481909df7b18f502945b8 |
completed | March 12, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69b347f1d7b48190bd8974c03c7dc937 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e4ace648190acf911853d4fcf86 |
completed | March 12, 2026, 11:37 p.m. |
Created at: March 12, 2026, 11:04 p.m.