Triple
T3250822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Heron |
E68172
|
entity |
| Predicate | isAirBase |
P46848
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [HMS Heron, isAirBase, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAirBase Context triple: [HMS Heron, isAirBase, true]
-
A.
isCivilAirport
Indicates that an airport is designated and used primarily for civilian (non-military) aviation operations.
-
B.
containsAirfield
Indicates that a location or area includes at least one airfield within its boundaries.
-
C.
hasAirfieldType
Indicates that an airfield is classified as having a particular type or category of airfield.
-
D.
fleetBase
Indicates that one entity serves as the primary homeport, headquarters, or main operating base for a fleet associated with the other entity.
-
E.
isAviationElementFor
Indicates that something serves as an aviation-related component, feature, or element specifically associated with or used for a particular object, system, or context.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf40f7908190a450c3136fccb020 |
completed | March 8, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69ada41837e48190933572165be0ca38 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:09 p.m.