Triple
T14176347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Shabelle |
E351341
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Merca
Merca is a historic coastal city in southern Somalia known for its ancient port, cultural heritage, and role as a regional commercial center.
|
E1084502
|
NE FINISHED |
How this triple was built (4 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, capital, Merca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merca Context triple: [Lower Shabelle, capital, Merca]
-
A.
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.
-
B.
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.
-
C.
Serdiana
Serdiana is a small municipality in southern Sardinia, Italy, known for its rural landscape and wine production.
-
D.
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.
-
E.
Merval
Merval is the commonly used abbreviation for the Valparaíso Metro, a rapid transit system serving Chile’s Valparaíso Region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Merca Triple: [Lower Shabelle, capital, Merca]
Generated description
Merca is a historic coastal city in southern Somalia known for its ancient port, cultural heritage, and role as a regional commercial center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Merca Target entity description: Merca is a historic coastal city in southern Somalia known for its ancient port, cultural heritage, and role as a regional commercial center.
-
A.
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.
-
B.
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.
-
C.
Serdiana
Serdiana is a small municipality in southern Sardinia, Italy, known for its rural landscape and wine production.
-
D.
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.
-
E.
Merval
Merval is the commonly used abbreviation for the Valparaíso Metro, a rapid transit system serving Chile’s Valparaíso Region.
- F. None of above. chosen
Provenance (5 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61c76e8081909994b95b631100e9 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf80cdae88190ae987b49218c281d |
completed | May 7, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69fd067e73708190adcb4e1c2fbf210d |
completed | May 7, 2026, 9:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd0c5161dc8190a923c5b00dc5b53a |
completed | May 7, 2026, 10:04 p.m. |
Created at: April 10, 2026, 1:02 a.m.