Triple
T20709367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Charleroi |
E508991
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Manage
Manage is a municipality in the Hainaut province of Wallonia in Belgium.
|
E1445535
|
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: Manage | Statement: [Arrondissement of Charleroi, containsMunicipality, Manage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manage Context triple: [Arrondissement of Charleroi, containsMunicipality, Manage]
-
A.
Next Management
Next Management is a prominent international modeling agency known for representing high-profile fashion models and talent.
-
B.
Management Section
The Management Section is the administrative unit of the U.S. Embassy in Hungary responsible for overseeing its operations, personnel, and support services.
-
C.
Management Section
The Management Section is the administrative unit of the U.S. Embassy in Tokyo responsible for overseeing its operations, personnel, and support services.
-
D.
Management Section
The Management Section is the administrative unit of the U.S. Embassy in Baghdad responsible for overseeing its personnel, operations, and support services.
-
E.
Management Section
Management Section is the administrative unit of the U.S. Embassy in Beijing responsible for overseeing its operations, personnel, and support services.
- 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: Manage Triple: [Arrondissement of Charleroi, containsMunicipality, Manage]
Generated description
Manage is a municipality in the Hainaut province of Wallonia in Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Manage Target entity description: Manage is a municipality in the Hainaut province of Wallonia in Belgium.
-
A.
Next Management
Next Management is a prominent international modeling agency known for representing high-profile fashion models and talent.
-
B.
Management Section
The Management Section is the administrative unit of the U.S. Embassy in Hungary responsible for overseeing its operations, personnel, and support services.
-
C.
Management Section
The Management Section is the administrative unit of the U.S. Embassy in Tokyo responsible for overseeing its operations, personnel, and support services.
-
D.
Management Section
The Management Section is the administrative unit of the U.S. Embassy in Baghdad responsible for overseeing its personnel, operations, and support services.
-
E.
Management Section
Management Section is the administrative unit of the U.S. Embassy in Beijing responsible for overseeing its operations, personnel, and support services.
- 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1961090819090daf7254f90a176 |
completed | April 21, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7f4d5f08190a733c7247f51f492 |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08d8f47be881909859bbe23887d0fc |
completed | May 16, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d99214b48190b0ffba4026d3fa39 |
completed | May 16, 2026, 8:54 p.m. |
Created at: April 16, 2026, 12:14 p.m.