Triple
T15957243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunisian Ligue Professionnelle 1 |
E386966
|
entity |
| Predicate | hasTeam |
P330
|
FINISHED |
| Object |
ES Métlaoui
ES Métlaoui is a Tunisian professional football club that competes in the country’s top-tier league system.
|
E1185940
|
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: ES Métlaoui | Statement: [Tunisian Ligue Professionnelle 1, hasTeam, ES Métlaoui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ES Métlaoui Context triple: [Tunisian Ligue Professionnelle 1, hasTeam, ES Métlaoui]
-
A.
Medeba
Medeba is an ancient city east of the Dead Sea, known from biblical accounts and later as a significant settlement in the region of Moab.
-
B.
Boucha
Boucha is the surname of Henry Boucha, a notable American ice hockey player of Ojibwe heritage.
-
C.
Chedli Klibi
Chedli Klibi was a Tunisian politician and diplomat who notably served as Secretary-General of the Arab League, becoming the first non-Egyptian to hold the post.
-
D.
Grand-Bassam
Grand-Bassam is a historic coastal town in southeastern Côte d'Ivoire, known for its colonial-era architecture and status as a UNESCO World Heritage Site.
-
E.
USM El Harrach
USM El Harrach is an Algerian professional football club known for competing at the top level of the national league system.
- 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: ES Métlaoui Triple: [Tunisian Ligue Professionnelle 1, hasTeam, ES Métlaoui]
Generated description
ES Métlaoui is a Tunisian professional football club that competes in the country’s top-tier league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ES Métlaoui Target entity description: ES Métlaoui is a Tunisian professional football club that competes in the country’s top-tier league system.
-
A.
Medeba
Medeba is an ancient city east of the Dead Sea, known from biblical accounts and later as a significant settlement in the region of Moab.
-
B.
Boucha
Boucha is the surname of Henry Boucha, a notable American ice hockey player of Ojibwe heritage.
-
C.
Chedli Klibi
Chedli Klibi was a Tunisian politician and diplomat who notably served as Secretary-General of the Arab League, becoming the first non-Egyptian to hold the post.
-
D.
Grand-Bassam
Grand-Bassam is a historic coastal town in southeastern Côte d'Ivoire, known for its colonial-era architecture and status as a UNESCO World Heritage Site.
-
E.
USM El Harrach
USM El Harrach is an Algerian professional football club known for competing at the top level of the national league system.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156fc6f348190b49c4858281a0904 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe7e76d481909e6f1d1ea33edd60 |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf3e80b08190899262a9d03c0e93 |
completed | May 9, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfc0d1548190b7d2e9e10e837f0b |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:53 a.m.