Triple
T30921235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alcoa Highway |
E787727
|
entity |
| Predicate | isPrimaryConnectorTo |
P77852
|
FINISHED |
| Object | McGhee Tyson Airport |
—
|
NE NERFINISHED |
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: McGhee Tyson Airport | Statement: [Alcoa Highway, isPrimaryConnectorTo, McGhee Tyson Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrimaryConnectorTo Context triple: [Alcoa Highway, isPrimaryConnectorTo, McGhee Tyson Airport]
-
A.
isMajorConnectorFor
chosen
Indicates that one entity serves as a primary or critical linkage or pathway connecting other entities within a system or network.
-
B.
hasConnector
Indicates that one entity is linked or joined to another entity through a connector or connecting element.
-
C.
isPrimary
Indicates that one entity holds the main, leading, or most important role or status in relation to another entity or within a given context.
-
D.
isShortConnector
Indicates that one entity functions as a connector or link between other entities and is characterized by having a short length or duration.
-
E.
connectsTo
Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: April 29, 2026, 8:51 p.m.