Triple
T13536840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dom-Römer reconstruction project |
E323282
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Neugasse |
E324052
|
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: Neugasse | Statement: [Dom-Römer reconstruction project, hasPart, Neugasse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neugasse Context triple: [Dom-Römer reconstruction project, hasPart, Neugasse]
-
A.
Freßgass
Freßgass is a famous upscale shopping and dining street in central Frankfurt, known for its luxury boutiques, delicatessens, and vibrant café culture.
-
B.
Getreidegasse
Getreidegasse is a famous historic shopping street in Salzburg’s Old Town, known for its narrow medieval houses, ornate guild signs, and as the birthplace of Wolfgang Amadeus Mozart.
-
C.
Kochergasse
Kochergasse is a central street in Bern, Switzerland, situated in the government district close to the Federal Palace and other key federal institutions.
-
D.
Saalgasse
chosen
Saalgasse is a historic street in Frankfurt’s old town, notable for its postwar modernist townhouses built on medieval foundations.
-
E.
Niederdorfstrasse
Niederdorfstrasse is a lively, historic pedestrian street in Zurich known for its medieval charm, shops, restaurants, and nightlife.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78adaf62c8190855df932eb9830be |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:45 p.m.