Triple
T15864946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linden |
E384686
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | Linden |
E384686
|
NE 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: Linden | Statement: [Linden, hasStationCode, Linden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linden Context triple: [Linden, hasStationCode, Linden]
-
A.
Linden
Linden is a small village in the Dutch province of North Brabant, known for its rural character and location near the Maas River.
-
B.
Linden
Linden is a small city in Marengo County, Alabama, serving as the county seat and known for its rural Southern character.
-
C.
Linden
Linden is a small village in the City of Blue Mountains in New South Wales, Australia, known for its bushland setting and proximity to scenic mountain lookouts and walking tracks.
-
D.
Linden
chosen
Linden is a Chicago Transit Authority rapid transit station that serves as the northern terminal of the Purple Line in Wilmette, Illinois.
-
E.
Linden
Linden is a major town in central Guyana known for its bauxite mining industry and location along the Demerara River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555e4ee48190a3b27b4ab9bdb1c8 |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa945d9808190a65f5182db341393 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.