Triple
T9655437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mari Alkatiri |
E233438
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Alkatiri
Alkatiri is the surname of Mari Alkatiri, a prominent East Timorese politician and former prime minister of Timor-Leste.
|
E811644
|
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: Alkatiri | Statement: [Mari Alkatiri, familyName, Alkatiri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alkatiri Context triple: [Mari Alkatiri, familyName, Alkatiri]
-
A.
Aluche
Aluche is a Madrid Metro station in the Aluche neighborhood that serves as an important transport hub connecting metro and commuter rail services in the southwest of the city.
-
B.
Alakaluf
Alakaluf, more commonly known as the Kawésqar, are an Indigenous seafaring people native to the fjords and channels of southern Chilean Patagonia.
-
C.
Aluta
Aluta is the historical name of the Olt River, a major waterway flowing through central Romania.
-
D.
Temara
Temara is a coastal city in northwestern Morocco, situated just south of Rabat and known for its beaches and growing residential and industrial areas.
-
E.
Azal
Azal is a white grape variety from Portugal, best known for producing light, crisp wines in the Vinho Verde 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: Alkatiri Triple: [Mari Alkatiri, familyName, Alkatiri]
Generated description
Alkatiri is the surname of Mari Alkatiri, a prominent East Timorese politician and former prime minister of Timor-Leste.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alkatiri Target entity description: Alkatiri is the surname of Mari Alkatiri, a prominent East Timorese politician and former prime minister of Timor-Leste.
-
A.
Aluche
Aluche is a Madrid Metro station in the Aluche neighborhood that serves as an important transport hub connecting metro and commuter rail services in the southwest of the city.
-
B.
Alakaluf
Alakaluf, more commonly known as the Kawésqar, are an Indigenous seafaring people native to the fjords and channels of southern Chilean Patagonia.
-
C.
Aluta
Aluta is the historical name of the Olt River, a major waterway flowing through central Romania.
-
D.
Temara
Temara is a coastal city in northwestern Morocco, situated just south of Rabat and known for its beaches and growing residential and industrial areas.
-
E.
Azal
Azal is a white grape variety from Portugal, best known for producing light, crisp wines in the Vinho Verde 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_69ca848c1ba88190b84b410cd14627fc |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bdbdd948190a4545a5df0f7af77 |
completed | April 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18271fb9c81909a18d9695859bec4 |
completed | April 4, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69d1835ab4688190999ea4f40ea2dfbf |
completed | April 4, 2026, 9:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d183f733cc8190bbb69c035c1d397a |
completed | April 4, 2026, 9:34 p.m. |
Created at: March 30, 2026, 8:13 p.m.