Triple
T31739822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abingdon estate |
E810103
|
entity |
| Predicate | presentLocationContext |
P181347
|
FINISHED |
| Object | within Ronald Reagan Washington National Airport property |
—
|
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: within Ronald Reagan Washington National Airport property | Statement: [Abingdon estate, presentLocationContext, within Ronald Reagan Washington National Airport property]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presentLocationContext Context triple: [Abingdon estate, presentLocationContext, within Ronald Reagan Washington National Airport property]
-
A.
locationPresented
Indicates that a specific location is presented or shown to an entity (such as a user or system) within a given context.
-
B.
presentDayContext
Indicates that the relationship or action is situated in, or relevant to, the current time period or contemporary context.
-
C.
currentlyLocatedAt
Indicates that an entity’s present or most recent known physical location is at the specified place.
-
D.
placesInContext
Indicates that one entity situates, interprets, or frames another entity within a particular context or surrounding circumstances.
-
E.
settingLocationContext
chosen
Indicates that an entity is associated with or occurs within a particular location that provides contextual background for it.
- F. None of above.
Provenance (3 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_69f348e0e4908190a884582eca646fb7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: April 30, 2026, 11:24 p.m.