Triple
T12055695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grabs |
E287035
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Heiligkreuz |
E776146
|
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: Heiligkreuz | Statement: [Grabs, hasSettlement, Heiligkreuz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heiligkreuz Context triple: [Grabs, hasSettlement, Heiligkreuz]
-
A.
Heiligenkreuz
chosen
Heiligenkreuz is an Austrian village in Lower Austria best known for its historic Cistercian monastery, Heiligenkreuz Abbey, one of the oldest continuously occupied Cistercian monasteries in the world.
-
B.
Heiliges Kreuz
Heiliges Kreuz refers to the Holy Cross of Jesus Christ, venerated in Christian tradition as the instrument of his crucifixion and a central symbol of salvation.
-
C.
Hermsdorfer Kreuz
Hermsdorfer Kreuz is a major German motorway interchange in Thuringia connecting the A9 and A4 autobahns and serving as an important junction in the national highway network.
-
D.
Schkeuditzer Kreuz
Schkeuditzer Kreuz is a major German motorway interchange near Leipzig where key autobahn routes intersect, serving as an important traffic hub in central Germany.
-
E.
Tannenkirch
Tannenkirch is a village in the Black Forest region of southwestern Germany that forms one of the districts of the town of Kandern in Baden-Württemberg.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90425258c8190ba7b3b837c439253 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dea043c8190a74ffb448bbae5d0 |
completed | May 1, 2026, 12:34 p.m. |
Created at: April 8, 2026, 9:47 p.m.