Triple
T12007875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Largo |
E285828
|
entity |
| Predicate | locatedWestOf |
P4239
|
FINISHED |
| Object | Lower Largo |
E289105
|
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: Lower Largo | Statement: [Upper Largo, locatedWestOf, Lower Largo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lower Largo Context triple: [Upper Largo, locatedWestOf, Lower Largo]
-
A.
Lower Largo
chosen
Lower Largo is a small coastal village in Fife, Scotland, known as the birthplace of Alexander Selkirk, the sailor who inspired Daniel Defoe’s Robinson Crusoe.
-
B.
Upper Largo
Upper Largo is a small village in Fife, Scotland, situated near the southern coast by Largo Bay.
-
C.
Largo
Largo is a suburban community in Prince George’s County, Maryland, located just east of Washington, D.C.
-
D.
Largo
Largo is a genre-blending jazz album by pianist Brad Mehldau that incorporates rock, electronic, and orchestral elements into his distinctive improvisational style.
-
E.
Longwood
Longwood is a residential neighborhood in the South Bronx of New York City known for its dense urban character and predominantly Latino community.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c5cfc08190821e4b2940c51416 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d32b0608190b261567fbd4f415e |
completed | May 1, 2026, 12:31 p.m. |
Created at: April 8, 2026, 9:46 p.m.