Triple
T14783783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Shabelle |
E347456
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Merca |
E1084502
|
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: Merca | Statement: [Lower Shabelle, containsSettlement, Merca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merca Context triple: [Lower Shabelle, containsSettlement, Merca]
-
A.
Merca
chosen
Merca is a historic coastal city in southern Somalia known for its ancient port, cultural heritage, and role as a regional commercial center.
-
B.
Pasarón
Pasarón is the family name of Spanish admiral Patricio Montojo y Pasarón, known for commanding Spanish naval forces during the Battle of Manila Bay in the Spanish–American War.
-
C.
Mesta
Mesta is a well-preserved medieval fortified village on the Greek island of Chios, known for its maze-like streets and traditional stone architecture.
-
D.
Serdiana
Serdiana is a small municipality in southern Sardinia, Italy, known for its rural landscape and wine production.
-
E.
Sumaré
Sumaré is a municipality in southeastern Brazil located in the interior region of the state of São Paulo, known for its industrial activity and integration into the Campinas metropolitan area.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9f1c9c8190a8b28ba0ddd3e2e3 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b626c48190a6aa9eda43539246 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.