Triple
T14158078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nampula Province |
E350864
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Angoche
Angoche is a coastal city in northern Mozambique known historically as an important Swahili trading port on the Indian Ocean.
|
E1083814
|
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: Angoche | Statement: [Nampula Province, hasCity, Angoche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angoche Context triple: [Nampula Province, hasCity, Angoche]
-
A.
Tagakaolo
Tagakaolo is an indigenous ethnolinguistic group in the southern Philippines, primarily in parts of Davao and Sarangani, known for its distinct Austronesian language and cultural traditions.
-
B.
Garoua
Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
-
C.
Sanglechi
Sanglechi is a lesser-known Eastern Iranian language spoken in parts of northeastern Afghanistan and adjacent regions.
-
D.
Makokou
Makokou is a small town in northeastern Gabon that serves as a key access point to the surrounding rainforest and protected areas.
-
E.
Moengo
Moengo is a town in eastern Suriname known historically as a major bauxite mining center.
- 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: Angoche Triple: [Nampula Province, hasCity, Angoche]
Generated description
Angoche is a coastal city in northern Mozambique known historically as an important Swahili trading port on the Indian Ocean.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angoche Target entity description: Angoche is a coastal city in northern Mozambique known historically as an important Swahili trading port on the Indian Ocean.
-
A.
Tagakaolo
Tagakaolo is an indigenous ethnolinguistic group in the southern Philippines, primarily in parts of Davao and Sarangani, known for its distinct Austronesian language and cultural traditions.
-
B.
Garoua
Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
-
C.
Sanglechi
Sanglechi is a lesser-known Eastern Iranian language spoken in parts of northeastern Afghanistan and adjacent regions.
-
D.
Makokou
Makokou is a small town in northeastern Gabon that serves as a key access point to the surrounding rainforest and protected areas.
-
E.
Moengo
Moengo is a town in eastern Suriname known historically as a major bauxite mining center.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61377de48190a3470d28f0edd34a |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7ef4d80819098d210503f5d22e9 |
completed | May 7, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69fd02cee5e0819086718893d1621481 |
completed | May 7, 2026, 9:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd063668f4819099d52bee7e7cdc32 |
completed | May 7, 2026, 9:37 p.m. |
Created at: April 10, 2026, 12:58 a.m.