Triple
T2149786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Town |
E47152
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Spanish Town Square |
E47152
|
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: Spanish Town Square | Statement: [Spanish Town, hasLandmark, Spanish Town Square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spanish Town Square Context triple: [Spanish Town, hasLandmark, Spanish Town Square]
-
A.
Spanish Town
chosen
Spanish Town is a historic Jamaican city that served as the island’s former capital and remains an important cultural and administrative center.
-
B.
La Plaza
La Plaza is the historic central square of Los Angeles, recognized as the birthplace of the city and a focal point of its early civic and cultural life.
-
C.
Zona Rosa
Zona Rosa is a lively commercial and nightlife district in Mexico City known for its shopping, restaurants, bars, and LGBTQ+ scene.
-
D.
Caminito street
Caminito street is a famous, brightly colored pedestrian alley and open-air museum in Buenos Aires known for its tango performances and vibrant street art.
-
E.
Majadahonda
Majadahonda is a suburban municipality west of Madrid, Spain, known for its residential character, shopping centers, and sports facilities.
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe45dbf481909c0da056a1a99ece |
completed | March 7, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58dc0b608190b5c6aed5b6b034fd |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:44 p.m.