Triple
T12637710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polanco district |
E301808
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Moliere Street |
E742773
|
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: Moliere Street | Statement: [Polanco district, hasPart, Moliere Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moliere Street Context triple: [Polanco district, hasPart, Moliere Street]
-
A.
Bories Street
Bories Street is a main commercial and historic thoroughfare in Punta Arenas, Chile, lined with shops and notable buildings near Plaza Muñoz Gamero.
-
B.
Gouraud Street
Gouraud Street is a lively thoroughfare in Beirut’s Gemmayzeh district, known for its historic architecture, bars, restaurants, and vibrant nightlife.
-
C.
Marie Claire Street
Marie Claire Street is a stylish, pedestrian-friendly shopping and café street in Tokyo’s Jiyūgaoka neighborhood, known for its European-inspired atmosphere and seasonal illuminations.
-
D.
Rue Molière
chosen
Rue Molière was the former French Concession–era name of a street in Shanghai later associated with Sun Yat-sen’s residence.
-
E.
Francuska Street
Francuska Street is a central street in Belgrade, Serbia, known for its historic architecture and proximity to major city landmarks and cultural sites.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96147f49c8190b701e1e27e207a95 |
completed | April 10, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb75ea708190a30153c76cde8e79 |
completed | May 10, 2026, 2:20 a.m. |
Created at: April 9, 2026, 5:16 p.m.