Triple
T14755804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ankeruhr |
E346725
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Hoher Markt |
E346727
|
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: Hoher Markt | Statement: [Ankeruhr, locatedIn, Hoher Markt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoher Markt Context triple: [Ankeruhr, locatedIn, Hoher Markt]
-
A.
Hoher Markt
chosen
Hoher Markt is one of Vienna’s oldest squares, located in the historic Innere Stadt district and known for its Roman excavations, Ankeruhr clock, and central role in the city’s medieval marketplace life.
-
B.
Hoher Kasten
Hoher Kasten is a prominent mountain in the Alpstein range of northeastern Switzerland, known for its panoramic views and revolving restaurant near the summit.
-
C.
حومة السوق
حومة السوق هي مدينة ساحلية تقع في جزيرة جربة بتونس وتُعد مركزها الإداري وأهم مدنها السياحية والتجارية.
-
D.
El Mercado
El Mercado is a vibrant, historic Mexican-style market in San Antonio, Texas, known for its shops, restaurants, and cultural festivities.
-
E.
Hohe Marter
Hohe Marter is a subway station on the U3 line of the Nuremberg U-Bahn in Nuremberg, Germany.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7ef0fd48190bd4a8af128ef274c |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb9e1b8481909abea3daabe91302 |
completed | May 8, 2026, 3:05 p.m. |
Created at: April 10, 2026, 1:30 a.m.