Triple
T30378873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles International Airport ground access network |
E772765
|
entity |
| Predicate | plannedToBeConnectedTo |
P180721
|
FINISHED |
| Object | Metro K Line |
—
|
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: Metro K Line | Statement: [Los Angeles International Airport ground access network, plannedToBeConnectedTo, Metro K Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plannedToBeConnectedTo Context triple: [Los Angeles International Airport ground access network, plannedToBeConnectedTo, Metro K Line]
-
A.
connectsTo
Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
-
B.
connectsPartOf
Indicates a relationship where one entity serves to link or join a component to the larger whole of which that component is a part.
-
C.
plannedToConnectCity
Indicates that an entity had the intention or made arrangements to establish a connection or link between cities.
-
D.
partlyConnectedBy
Indicates that two entities are linked or joined by something in an incomplete, partial, or not fully continuous way.
-
E.
connectsUnder
Indicates that one entity forms a connection to another entity by passing beneath or under it.
- 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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
| PDg | Predicate description generation | batch_69f74c6fa6548190b03935f65429a24e |
completed | May 3, 2026, 1:23 p.m. |
Created at: April 29, 2026, 8 p.m.