Triple
T25884789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ALD |
E652156
|
entity |
| Predicate | railHubImportance |
P159542
|
FINISHED |
| Object | major rail hub |
—
|
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: major rail hub | Statement: [ALD, railHubImportance, major rail hub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railHubImportance Context triple: [ALD, railHubImportance, major rail hub]
-
A.
portImportance
Indicates the relative significance or strategic value of a port within a given context (such as trade, logistics, or transportation networks).
-
B.
shippingLaneImportance
Indicates the degree to which a particular shipping lane is considered significant or critical relative to other possible routes.
-
C.
relativeImportanceAtAirport
Indicates the comparative level of importance or priority assigned to entities within the context of an airport.
-
D.
routeImportance
Indicates the relative significance or priority of a route compared to other possible routes, typically in terms of usefulness, relevance, or preference.
-
E.
transportationHubType
Indicates the specific kind of transportation hub an entity is (e.g., airport, train station, bus terminal).
- 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_69e7ab3b92cc81908febd90317862647 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603421d68819094435264277cf1bc |
completed | May 2, 2026, 1:59 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 8:17 a.m.