Triple
T34664803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fregon |
E890221
|
entity |
| Predicate | hasOutstationLinks |
P113639
|
FINISHED |
| Object | nearby homelands and outstations |
—
|
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: nearby homelands and outstations | Statement: [Fregon, hasOutstationLinks, nearby homelands and outstations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutstationLinks Context triple: [Fregon, hasOutstationLinks, nearby homelands and outstations]
-
A.
hasOutstations
chosen
Indicates that an entity maintains or is associated with one or more subsidiary locations or branches situated away from its main base or headquarters.
-
B.
hasCommuterLinks
Indicates that there are established transportation connections enabling regular travel between two locations.
-
C.
hasInterchangeStationWith
Indicates that two transportation lines, routes, or systems share a station where passengers can transfer between them.
-
D.
hasLandsideConnection
Indicates that two locations are connected by a route or access on land, allowing movement between them without using air or water transport.
-
E.
hasMajorRailLinksTo
Indicates that there are significant railway connections or routes between two locations.
- 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_69f349d9c59481908b36baa0be093aea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f73397e5488190a9cdce98a0ac0383 |
completed | May 3, 2026, 11:38 a.m. |
| PD | Predicate disambiguation | batch_69f732f3ad248190b4bcbf589d000f0d |
completed | May 3, 2026, 11:35 a.m. |
Created at: May 1, 2026, 2:04 a.m.