Triple
T18573254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landes |
E453922
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Messanges
Messanges is a small coastal commune in southwestern France known for its Atlantic beaches and pine forests.
|
E1331430
|
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: Messanges | Statement: [Landes, contains, Messanges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Messanges Context triple: [Landes, contains, Messanges]
-
A.
Messas
Messas is a Jewish family name notably associated with prominent rabbis and religious leaders, including Rabbi Shalom Messas.
-
B.
Martinos
Martinos was a lesser-known member of the Byzantine imperial family, known primarily as a sibling of Emperor Heraklonas in the 7th century.
-
C.
Messía
Messía is a Spanish surname historically associated with noble lineages such as the Messía de la Cerda family.
-
D.
Mitanni
Mitanni was a powerful Hurrian-speaking kingdom of the Late Bronze Age in northern Mesopotamia and Syria, known for its chariotry, diplomacy, and rivalry with contemporary great powers such as Egypt and the Hittites.
-
E.
Messa
Messa is a small tributary stream in northern Italy that feeds into the Dora Riparia river within the Po River basin.
- 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: Messanges Triple: [Landes, contains, Messanges]
Generated description
Messanges is a small coastal commune in southwestern France known for its Atlantic beaches and pine forests.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Messanges Target entity description: Messanges is a small coastal commune in southwestern France known for its Atlantic beaches and pine forests.
-
A.
Messas
Messas is a Jewish family name notably associated with prominent rabbis and religious leaders, including Rabbi Shalom Messas.
-
B.
Martinos
Martinos was a lesser-known member of the Byzantine imperial family, known primarily as a sibling of Emperor Heraklonas in the 7th century.
-
C.
Messía
Messía is a Spanish surname historically associated with noble lineages such as the Messía de la Cerda family.
-
D.
Mitanni
Mitanni was a powerful Hurrian-speaking kingdom of the Late Bronze Age in northern Mesopotamia and Syria, known for its chariotry, diplomacy, and rivalry with contemporary great powers such as Egypt and the Hittites.
-
E.
Messa
Messa is a small tributary stream in northern Italy that feeds into the Dora Riparia river within the Po River basin.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543c7f63c81909b5d5764ffd20234 |
completed | April 19, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04f886f2e88190bf01061cb793c0ab |
completed | May 13, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a04f9511eb08190952be765862cd1ab |
completed | May 13, 2026, 10:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04f9dd338881908b300bab7947f736 |
completed | May 13, 2026, 10:23 p.m. |
Created at: April 10, 2026, 11:43 a.m.